87 jobs found

Job Description Job Description Senior Software Engineer - Cybersecurity & Backend Job Type: Contractor ( 15 hrs/week) Location: Remote Schedule: Flexible Required Skills Python 3, Java, Rust, TypeScript, C++ Algorithms & Data Structures Bug Fixing & Feature Implementation Codebase Refactoring Performance Optimization Penetration Testing Security Auditing Job Summary Work on challenging coding and security tasks designed to help train next-generation AI systems. You'll create realistic coding problems, implement features and bug fixes, and build deterministic verifiers to evaluate solutions. What We're Looking For Strong backend development experience in Java, Node.js, Go, Rust, TypeScript, Python, C++, or similar Experience building scalable services and APIs Strong debugging, performance optimization, and automated testing skills Solid code review and software engineering practices Experience with cybersecurity, penetration testing, vulnerability assessment, or security audits Familiarity with secure coding, AppSec, OWASP, and CWE is a plus Responsibilities Develop and debug complex software Implement new features and resolve software issues Refactor and optimize existing codebases Create realistic coding and security tasks Develop reliable deterministic verification systems Identify vulnerabilities and potential security risks Apply strong algorithms, data structures, and software engineering principles Preferred Qualifications Proven backend development experience Cybersecurity or security engineering background Experience with penetration testing or security audits Strong understanding of algorithms, data structures, and computer science fundamentals Excellent analytical, problem-solving, and technical communication skills

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Job Description Location: New York, NY / Hybrid Preferred (Remote is available for highly qualified candidates) Employment Type: Full-Time / Contract We are looking for a Senior Snowflake Solutions Architect to support a strategic data warehousing and integration initiative for a leading financial-services / hedge fund client . The ideal candidate will be a hands-on Snowflake expert who can design enterprise data warehouse solutions, integrate multiple data sources, optimize performance and cost, and work directly with business and technology stakeholders. Key Responsibilities: Design and implement scalable Snowflake data warehouse architectures . Serve as the Snowflake SME/Architect and provide technical guidance. Design and optimize ETL/ELT pipelines and data models. Work with multiple upstream/downstream systems and applications. Perform Snowflake performance, workload, security, and cost optimization. Collaborate with data engineering, application, infrastructure, security, and business teams. Troubleshoot production data, pipeline, and integration issues. Document architecture and technical standards. Required Skills: Strong hands-on Snowflake architecture and implementation experience. Advanced SQL , data warehousing, data modeling, and ETL/ELT. Strong knowledge of Snowflake warehouses, stages, streams, tasks, clustering, RBAC, and performance tuning . Experience building and supporting production data pipelines. Strong data integration and architecture experience. Excellent communication and stakeholder-management skills. Ability to work as both a hands-on engineer and technical architect . Preferred Skills: Experience in hedge funds, asset management, investment management, capital markets, or financial services . Experience with dbt, Airflow, Fivetran, Informatica, Matillion , or similar tools. Python and AWS/Azure experience. Experience with financial data such as trades, positions, securities, pricing, P&L, risk, or market data . Snowflake certification is a plus. Flexible work from home options available.

Job Description Job Description OVERVIEW Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Principal for its Data Services team. This organization provides the technology backbone and shared data infrastructure for nonprofit, community, and regional health plans nationwide, unifying clinical, claims, demographic, and provider data into a single governed platform that powers automation and AI deployment across core health plan operations. This role reports to a Senior Manager, Data Solutions, or Director, and partners with Enterprise Architects, Portfolio, Analytics, and Data Engineering teams to design technical solutions and build data products that meet enterprise-wide data needs. The Principal drives data product delivery by designing and implementing cloud data lakes, data warehouse, and data mart solutions, and is expected to influence enterprise architecture decisions and mentor senior engineering talent. NOTE: Must be eligible to work on W2 without sponsorship. Not eligible for C2C. Pay Rate: $85-$95/hr Duration: 6-month contract-to-hire Location: Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY RESPONSIBILITIES Data Platform Architecture & Delivery Lead the design, development, and implementation of scalable data pipelines supporting enterprise data lakes, data warehouses, and data marts. Engineer robust ELT/ETL solutions that ingest, process, and curate structured and semi-structured data from diverse internal and external sources. Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and data products. Cross-Functional Solution Design Partner with Solution Design, Architecture, and Product teams to ensure technical designs are implemented accurately, efficiently, and securely. Build and optimize data solutions on cloud platforms such as Snowflake, Databricks, and Synapse, with a focus on performance, scalability, reliability, and cost efficiency. Quality, Governance & Operations Implement data quality, validation, observability, lineage, and governance controls embedded directly into data pipelines. Champion and apply DevOps and DataOps best practices, including CI/CD, automated testing, infrastructure as code, monitoring, and alerting. Identify performance bottlenecks, reliability risks, and optimization opportunities across data platforms and workflows. Technical Leadership & AI Enablement Provide hands-on technical leadership and mentorship to senior and mid-level data engineers, promoting engineering standards and best practices. Collaborate using agile methodologies to plan work, refine technical stories, and deliver iteratively with predictable outcomes. Support integration of AI/ML-ready data assets, ensuring data is trustworthy, well-modeled, and accessible for advanced analytics use cases. Act as a technical thought leader, advocating for modern data engineering patterns, tools, and practices aligned to enterprise strategy. QUALIFICATIONS Bachelor's degree or equivalent experience, with a minimum of ten years of relevant data engineering experience. Experience supporting enterprise AI/ML, advanced analytics, and data product ecosystems. Expertise in Data Vault 2.0, dimensional modeling, Lakehouse architecture, or domain-driven data design. Demonstrated ability to influence enterprise architecture decisions and mentor senior engineering talent. Expert-level understanding of data management practices, including data modeling (Data Vault 2.0), master data management, data integration, architecture, virtualization, warehousing, privacy, and security. Demonstrated enthusiasm for AI and emerging technologies, with hands-on experience applying AI-driven solutions in enterprise environments. Hands-on experience with SQL, Python, DBT Cloud, and DBT Core; expert-level fluency in NoSQL and database platforms such as Snowflake, Synapse, or Databricks. Proven ability to design and scale large-volume, high-performance data platforms leveraging parallel and distributed architectures. Advanced knowledge of CI/CD, source control, and agile delivery tooling such as Git, Bitbucket, and Jira. Experience with Airflow or Tidal (migrating from Tidal; comparable orchestration tools considered) Experience in healthcare, regulated environments, or large enterprises is strongly preferred. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.

Job Description Job Description Omni Design Technologies is a leading provider of high-performance, ultra-low power IP cores, from 28nm down through advanced FinFET nodes, enabling differentiated system-on-chip (SoC) solutions. Our technology fuels innovation in critical applications ranging from 5G, wireline and optical communications, LiDAR, radar, automotive networking, AI, and image sensors. With a proven track record of exceeding 50% year-over-year growth, we are at an inflection point, poised to significantly expand our market share and solidify our position as a technology leader. Role Overview This is a lead role with full ownership of high-speed evaluation boards from start to finish - from initial specification and design through schematic capture, layout, bring-up, characterization, and debug. The role has a strong lab focus , with responsibility for driving high-speed measurement and validation on the bench, including work with BERTs and high-speed oscilloscopes. You will set the technical direction for our test board hardware and partner with analog, digital, and test automation teams to define next-generation evaluation platforms. Work Model: Hybrid - on-site lab/bench work combined with remote flexibility. Key Responsibilities Full Board Ownership: Lead and take full ownership of high-speed/RF boards from specification through design, schematic capture, PCB layout, BOM, bring-up, test, and debug. RF Signal Path Design: Design RF signal paths with careful attention to impedance matching, microstrip/stripline routing, connector selection, and launch structures for operation up to 64 GHz. Power Delivery: Design low-noise power delivery networks using LDO regulators appropriate for sensitive analog and RF measurement environments. Converter Characterization: Characterize high-speed ADC and DAC devices, including SNDR, SFDR, THD, and dynamic range measurements. Signal Integrity: Measure and interpret S-parameters to validate board signal integrity and RF performance across the full frequency range. High-Speed Lab Validation: Lead high-speed measurement and validation on the bench, including BERT bit-error-rate testing, eye-diagram/jitter analysis, and high-speed oscilloscope characterization. Digital Integration: Integrate FPGA or microcontroller subsystems on test boards to enable automated stimulus, data capture, and instrument control. Cross-Functional Collaboration: Work closely with analog, digital, and test automation engineers to define specifications for next-generation evaluation boards. Documentation: Clearly and thoroughly document board designs, test procedures, and characterization results. Required Qualifications B.S. or M.S. in Electrical Engineering or a related field 5+ years of hands-on PCB design and hardware bring-up experience Demonstrated experience characterizing high-speed ADC or DAC devices High-speed/RF PCB design experience, including controlled impedance, grounding, shielding, and high-frequency connector and launch design Proficiency designing high-speed/RF schematics and layouts using industry-standard EDA tools Strong working knowledge of S-parameters and VNA measurement techniques Experience with low-noise LDO selection and power supply layout best practices for analog/RF environments Experience with SERDES and the JESD204B high-speed serial interface in an ADC/DAC evaluation environment Hands-on proficiency with BERTs, high-speed oscilloscopes, VNAs, spectrum analyzers, and signal generators Desirable Qualifications FPGA development experience, including RTL design, embedded firmware, or board-level integration Microcontroller (MCU) integration on test boards for stimulus, data capture, and instrument control Python scripting for test automation, instrument control (VISA/PyVISA), and data analysis Experience designing or characterizing boards at mmWave frequencies above 30 GHz Familiarity with JESD204C or other emerging high-speed converter interface standards Familiarity with high-speed SERDES at 224G Experience with high-speed lab testing, including BERT, high-speed oscilloscopes, eye/jitter analysis, and bit-error-rate measurements Ability to test ADC and DAC devices and clearly present product performance to technical and cross-functional audiences Experience in a fabless semiconductor or IC design environment Key Skills at a Glance Required PCB design - 5+ years Board bring-up and debug High-speed lab testing - BERT, oscilloscope, eye/jitter, BER RF design up to 64 GHz S-parameters and VNA ADC/DAC characterization Low-noise LDO design JESD204B SERDES Desirable Python test automation ADC/DAC performance reporting and presentation FPGA development MCU integration mmWave (>30 GHz) JESD204C 224G SERDES We are looking for trailblazers We strongly believe that the pace of the ongoing hardware revolution will be greatly accelerated by Omni Design's IP cores and Automation. In the rapidly emerging semiconductor embedded design business ecosystem. At Omni Design, we have created an exciting environment with amazing talent across multiple disciplines. We like self-motivated individuals, we encourage initiative, we look for leadership qualities, we value teamwork, we like diversity, and we reward excellence. We are looking for trailblazers to bring Omni Design's vision to fruition. If you are interested in making an impact as part of a young, fast-growing, cutting-edge technology company, please reach out to us. Omni Design is an equal opportunity employer. We offer excellent compensation. We seek individuals that share our high standards and commitment to excellence. Omni Design Technology is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status or other legally protected characteristics. If you require assistance or an accommodation due to a disability in order to apply for a position, please contact us at . Omni Design Technology participates in E-Verify. For positions located in the United States, employment is contingent upon verification of identity and eligibility to work in the United States. Background checks may be required as part of the hiring process. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description About Humble Robotics Working at Humble Robotics means taking on the biggest change in ground transportation in decades. We're building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV industry veterans and innovative thinkers. We don't believe culture can be engineered - but when it falls into place, it's a once-in-a-lifetime adventure. Progress has never felt so present. Position Overview Own and support the sensors on our next-generation autonomous trucks, from selection and characterization through placement, commissioning, and on-vehicle validation. You will define what "good" means for every camera, lidar, radar, microphone, and INS on the truck, prove it in the lab and in the field, and be the person Perception and Autonomy come to when sensor data does not look right. Key Responsibilities Write and own sensor requirements. Make them testable, tie each one to an autonomy or safety need, and defend the rationale in cross-functional reviews. Run field of view, coverage, and occlusion studies for a Class 8 tractor-trailer. Quantify blind zones, cross-modality overlap, and trailer articulation effects, and use that analysis to drive sensor placement decisions. Characterize remote-sensing systems, including camera, lidar, radar, microphone, IMU, and GNSS: resolution, SNR, dynamic range, latency and jitter, point density, range and reflectivity, detection and false alarm rates, angular accuracy, bias and drift. Own sensor commissioning and bring-up, including procedures, automation, qualification tests, diagnostics, and drive improvements for repeatability and throughput. Design and build test setups and test benches. Experience with measurement tools, power supplies, t-slot rail, power distribution, and bracket design preferred. Support testing, evaluation, federation, and continued operation of vehicles, sensors, and vehicle platforms. Support data collection, automation, review, and analysis for bench and on-vehicle tests, for characterization, failure analysis, reliability estimation, systems analysis, and performance modeling. Work directly with Autonomy and Software to turn perception needs into measurable sensor KPIs, and with Hardware on mounts, enclosures, harnessing, power, thermal, and networking. Lead root cause analysis on sensor issues from bring-up, DV, and on-vehicle operation, and close the loop into specs and design changes. Minimum Qualifications BS in Electrical Engineering, Mechanical Engineering, Physics, or related, and 3 or more years of hands-on sensor and engineering experience. Test automation, scripting, and data analysis experience. Field of view and coverage analysis experience, including geometric modeling of sensor placement on a vehicle or robot. Experience with at least two of camera, lidar, radar, or INS/GNSS. Strong grasp of the underlying physics: optics and photometry, lidar range equation and reflectivity, radar RCS and antenna patterns, inertial error models and GNSS/INS fusion behavior. Proven cross-functional collaboration with autonomy, perception, software, and hardware teams. Fluent in Python for test automation and data analysis. Comfortable on a vehicle and in the shop Experience writing test reports and procedures someone else can execute. Preferred Qualifications Prior experience at an AV, robotaxi, autonomous trucking, or ADAS program at an OEM or Tier 1. Commissioned sensor suites across multiple vehicle builds or program phases. Took a sensor from evaluation through supplier qualification onto a production vehicle. Heavy-duty truck or large articulated platform experience. Working knowledge of, GMSL, Automotive Ethernet, CAN/CAN FD, and PTP. Sensor modeling or simulation for placement trade studies. Exposure to functional safety and SOTIF as applied to sensor performance and degradation. Compensation Salary ranges are determined by role, level, and location. Within the range, individual pay is determined by additional factors, including qualifications, skills, experience, and location. We also offer competitive equity compensation and benefits. As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact to exercise this right or if you have further questions on the use of AI tools in our hiring process. Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Senior Healthcare Data Modeler - EDW / Cloud Modernization Location: Remote, Continental U.S. Preferred Location: Central U.S. / Midwest Travel: Occasional Mot open to third parties Position Summary We are seeking a hands-on Senior Healthcare Data Modeler to support a large Enterprise Data Warehouse and cloud modernization initiative. This role will work with complex healthcare datasets and translate business requirements into scalable enterprise data models and solutions. The Senior Healthcare Data Modeler will own the design, governance, and evolution of conceptual, logical, and physical data models supporting the EDW and its modernization. The environment is transitioning from a legacy Teradata EDW toward modern Azure and Snowflake cloud architecture. The ideal candidate brings deep healthcare data modeling experience, expert SQL skills, strong data governance and metadata knowledge, and hands-on experience designing enterprise data models across Medicaid, Medicare, claims, provider, TPL, and member data. Responsibilities Data Architecture & Strategy Develop long-term data architecture strategies, standards, and roadmaps in collaboration with business and technical stakeholders. Lead data architecture, data modeling, and data movement initiatives supporting Medicaid, Medicare, and Commercial healthcare data. Work across healthcare subject areas including claims, provider, TPL, and member data. Define how logical designs translate into physical databases and how data flows through successive architectural layers. Maintain accurate documentation of the enterprise data architecture and environment. Data Modeling & Design Translate complex business requirements into scalable enterprise data models. Design and maintain conceptual, logical, and physical data models across staging, integration, and semantic/presentation layers. Develop dimensional models using Kimball star/snowflake, normalized OLTP/3NF, OLAP, and Data Vault modeling techniques. Implement Slowly Changing Dimensions, role-playing dimensions, dimensional hierarchies, surrogate keys, and data classifications. Define primary and foreign keys, indexes, partitioning, constraints, and referential integrity rules. Create and maintain ERDs, data flow diagrams, and data model documentation using Erwin or comparable modeling tools. Data Governance, Quality & Compliance Ensure data architecture and modeling practices align with healthcare regulatory and security requirements. Oversee source-to-target mapping, data movement, interfaces, and data quality. Maintain data dictionaries, business glossaries, metadata, lineage documentation, and data modeling standards. Support classification and protection of PII and PHI in accordance with applicable healthcare data security requirements. Support Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival, and Data Migration initiatives. Collaboration & Delivery Partner with Data Architects, ETL/Data Engineers, Business SMEs, BI Developers, and DBAs throughout the architecture and implementation lifecycle. Provide technical recommendations for scalable data warehouse, data mart, data mining, and analytics solutions. Address data challenges involving systems integration, compatibility, and multi-platform environments. Develop testing criteria to ensure the fidelity and performance of data architecture. Communicate risks and issues clearly to project and stakeholder teams. Cloud Modernization & Migration Support modernization of legacy Teradata data models to Azure and Snowflake. Contribute to target-state architectures involving Azure Synapse, Databricks Lakehouse, and Snowflake. Design models supporting Medallion architecture, including Bronze, Silver, and Gold layers. Work with Delta Lake and Parquet patterns. Assess existing data models for modernization, redundancy, performance, and optimization opportunities. Required Qualifications BS or MS in Computer Science, Business Information Systems, Engineering, or a related field. 10+ years of IT experience. 7+ years of data modeling, data strategy, and roadmap experience supporting large, complex healthcare environments. Experience implementing large-scale, end-to-end Data Management and Analytics solutions. 5+ years of healthcare data modeling experience involving Medicaid, Medicare, and/or Commercial healthcare data. 5+ years of experience with Erwin or comparable data modeling tools such as ER/Studio or SQL Developer Data Modeler. Expertise in conceptual, logical, and physical data modeling. Expertise with normalized OLTP, OLAP, MDM, and dimensional modeling techniques. Strong experience with star schemas, Slowly Changing Dimensions, role-playing dimensions, dimensional hierarchies, and data classification. 5+ years of expert-level SQL experience, including complex analytic queries, stored procedures, DDL, DML, DCL, query optimization, and ANSI SQL. 5+ years of experience with Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival, and Data Migration. Strong knowledge of HIPAA, PHI, PII, and healthcare data security requirements. Strong problem-solving, communication, influencing, and presentation skills. Ability to work independently in a fast-paced environment with multiple concurrent priorities. Preferred Qualifications State Medicaid EDW or MMIS experience. Experience with Medicaid federal reporting programs such as T-MSIS, PERM, MARS, or Quality of Care. Teradata Vantage experience and exposure to modernization of Teradata workloads to cloud platforms. Microsoft Azure experience, including Azure Data Lake Storage, Azure Data Factory, and Purview. Azure Synapse and/or Databricks Lakehouse experience. Snowflake experience, including data object design and performance tuning. Experience with Delta Lake, Lakehouse architecture, or Microsoft Fabric. Experience with Data Vault modeling. Power BI or Tableau experience. Hands-on ETL experience with Informatica, Azure Data Factory, or similar tools. Python or R experience. Exposure to AI/ML or GenAI tools used for data modeling, documentation, or metadata enrichment. Work Arrangement 100% remote within the Continental U.S. Central U.S. / Midwest candidates preferred. Occasional travel may be required. This role works across distributed and matrixed business and technology teams.

Job Description Job Description About Us At Proactive Technology Management, we're transforming how businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, we leverage cutting-edge technologies to deliver actionable insights that give our clients a competitive advantage. We're seeking a Senior Full-Stack BI Architect / Fabric Data Engineer to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you! Role Summary As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric design through the use of ubiquitous language and domain-driven principles. You will leverage deep expertise in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technical expertise in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions. Key Responsibilities Lead the design and implementation of ETL/ELT pipelines within a medallion architecture (Bronze, Silver, and Gold layers) to ensure data quality, scalability, and accessibility across use cases. Architect and develop advanced data models that reflect domain-driven design principles , aligning with business domains and using ubiquitous language to ensure clarity and usability for all stakeholders. Design and implement star and snowflake schemas, along with medallion schema practices , to provide flexible, high-performance data structures for analytics. Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics. Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance. Build and optimize SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability. Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements. Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals. Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement. Mentor team members to build organizational capacity in BI and data engineering best practices. Requirements Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus. 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions. In-depth expertise in medallion architecture , data modeling (star schemas, snowflake schemas), and best practices for data warehousing. Proven ability to implement domain-driven design (DDD) principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language. Expert-level proficiency in Power BI, DAX, Power Query M, and SQL, with demonstrated success delivering scalable, impactful BI solutions. Strong programming skills with Spark Python for advanced data processing and analytics. Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies. A track record of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders. Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment. Strong communication and leadership skills, with a focus on collaboration and stakeholder engagement. Benefits Competitive compensation tailored to senior-level expertise. Opportunities to shape data strategy and lead transformative BI projects. Ongoing professional development through advanced training and certifications. A supportive, innovative culture that values diversity, inclusion, and creativity. Flexible remote work arrangements to support work-life balance. Comprehensive health, dental, and vision insurance 401(k) retirement plan with company match If you're ready to lead the next evolution of business intelligence-harnessing the power of medallion architecture, domain-driven design, and user-centric modeling-apply today. Help us transform data into a powerful, humanized tool for business success.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer - Senior, you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management. Leads design reviews for the team and provides recommendations using innovative architectural concepts and principals. Breakdowns business features into technical stories and approaches. Presents to leadership and influences on technical solutions. Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Collaborates with cross-functional partners and stakeholders to lead technical solutions. Implements efficient defect management, root cause analysis, and resolution processes. Helps develop, maintain, and enforce the company's data development tools and standards. Conduct code reviews on a regular basis to improve quality and ensure compliance. Creates the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform. Assists in setting technical direction for the team and serves a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you will have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of data engineering, data analysis or software development experience implementing data solutions with at least 2 years of data engineering or data management experience. Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Strong understanding of the agile principles and ability to apply them. Extensive knowledge and experience in SQL and Relational Databases. Proficient in working with Cloud technologies and tools. What sets you apart: Snowflake dbt SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $127,310 - $243,340 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Data Engineer - Senior, you will be engaged in all phases of the data management lifecycle. This includes gathering and analyzing requirements, collecting, processing, storing, securing, and archiving data. Develop and maintain technical systems for data reporting and technical solutions utilizing emerging technologies. You will partner with the business to ensure data management solutions aligned to business objectives. What you will do: Leads and/or engineers the full cycle of data solutions from analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support. Designs and implements highly-complex technical solutions for data engineering and analytic systems using new methodologies and emerging technologies. Designs, builds, manages and optimizes data pipelines for data structures encompassing data transformation, data models, schemas, metadata, data quality, and workload management. Leads design reviews for the team and provides recommendations using innovative architectural concepts and principals. Breakdowns business features into technical stories and approaches. Presents to leadership and influences on technical solutions. Creates proof of concepts and prototypes on highly complex solutions and presents to leadership to deliver on vision for solution. Collaborates with cross-functional partners and stakeholders to lead technical solutions. Implements efficient defect management, root cause analysis, and resolution processes. Helps develop, maintain, and enforce the company's data development tools and standards. Conduct code reviews on a regular basis to improve quality and ensure compliance. Creates the development of data pipelines, extracting data from our various applications (internal & external sources) into the Data Platform. Assists in setting technical direction for the team and serves a mentor to team members. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you will have: Bachelor's degree; OR 4 years of relevant education and/or experience. 6 years of data engineering, data analysis or software development experience implementing data solutions with at least 2 years of data engineering or data management experience. Proven experience with end to end delivering of data solutions that includes building, managing, and optimizing data pipelines across cloud environments; curating and modeling the data for various types of consumers/products and their pattern of usage to include data marts, data lake, and operational analytic applications. Strong understanding of the agile principles and ability to apply them. Extensive knowledge and experience in SQL and Relational Databases. Proficient in working with Cloud technologies and tools. What sets you apart: Snowflake dbt SQL Kafka APIs Python Data Modeling Fivetran Git/version control Compensation range: The salary range for this position is: $127,310 - $243,340 USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $120,000 to $200,000.

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate's skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $120,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . CapTech supports Equal Pay for all. In addition, in the State of Virginia, we are committed to Equal Pay for ALL in accordance with the Virginia Transparency Law. Compensation for this role will be commensurate with the candidate's skills, total relevant experience, job level, and geographic location. The base pay range for this role is: $120,000 - $200,000. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Job Description Banyan Software is the best permanent home for software businesses that serve specialized industries, their employees, and their customers. With a buy-grow-and-hold-for-life approach and a permanent capital base, Banyan acquires and grows companies worldwide, honoring founder legacies and helping portfolio companies modernize through shared AI expertise and operational discipline. Founded in 2016, Banyan operates more than 120 portfolio companies across North and South America, Europe, and APAC, and has appeared on the Inc. 5000 list for six consecutive years. The Banyan Software Foundation, endowed with $100 million in Banyan stock, leverages technology to build a greener and more equitable world. The Role We are hiring our first Lead AI Architect to design, build, and run the centralized data and AI platform that powers Banyan. The cornerstone of the work is a centralized data model, a Banyan data lake, that consolidates the data we already have and unlocks safe AI experimentation for our internal functional teams: Finance, M&A, Business Development, and others. This role is modeled on a classical Enterprise Architect role and adapted for an AI-first world. You will set the target-state architecture, choose the patterns we standardize on, write code yourself, and own the result. You will partner with our embedded business analysts and the leaders of each functional vertical so the platform stays grounded in real use cases, not abstractions. This is a player-coach role. You start hands-on. Over time you build and lead a small platform team. What You Will Build A centralized data lake on AWS: the single, governed source of truth for internal Banyan data. Designed for analytics, ML, and AI experimentation. A reference architecture for AI: patterns and building blocks our verticals use to go from idea to safe production: model selection, RAG, evaluation, observability, cost controls. Guardrails that make experimentation safe: data classification, access tiering, sandboxes, audit logging, and clear rules for what can be sent where. A platform team and operating model: the team, standards, and rituals that keep the platform reliable and improving as adoption grows. What You Will Do Define and own the target-state data and AI architecture for Banyan. Make the trade-offs explicit and write them down. Design and build the AWS-centric data lake. Set the patterns for storage, cataloging, query, ingestion, modeling, and lineage. Likely stack: S3, Glue, Lake Formation, Athena, Redshift, Iceberg or similar open table formats, plus Terraform or CDK for infrastructure as code. Stand up the AI experimentation layer: model access via Anthropic, OpenAI and other LLM Establish data contracts, schema standards, naming conventions, and a domain model that holds up as we add sources and acquire companies. Partner with our Senior Business Analysts embedded in Finance, M&A, and Business Development to translate use cases into platform requirements and to unblock their work. Define security, privacy, and AI safety guardrails. Classify data, design access tiering, and set the rules for handling PII, regulated data, and confidential portfolio information. Stay hands-on. Write code, ship infrastructure, run code reviews, and debug production issues. Architects who do not build lose touch. Build the team including vertical aligned Senior Business AI Analysts. Find suitable contractors for data platform engineers, ML platform engineers, and data engineers. Mentor them. Set the bar for engineering quality. Own platform reliability, observability, and cost. Set SLOs, monitor usage, and keep the bill rational as we scale. Represent Banyan's AI and data architecture to our executive team, our portfolio companies, and external partners. First-Year Outcomes A production-ready, governed data lake foundation deployed on AWS, with at least three priority data domains landed and modeled. At least two functional verticals onboarded to the platform with safe, audited data access for analytics and AI experimentation. A documented reference architecture, security model, and standards library that new use cases and new hires can plug into. At least one AI use case running in production through the platform, with monitoring, evaluation, and a clear ROI story. First one to two team hires made and ramped. Who You Are 10+ years building data and AI platforms in production at meaningful scale. You have shipped, not just diagrammed. Deep AWS expertise. Hands-on with S3, IAM, KMS, networking, Glue, Lake Formation, Athena, Redshift, SageMaker, Bedrock, and EKS or ECS. Strong data architecture chops: lakehouse patterns, open table formats (Iceberg, Delta, or Hudi), data modeling, ingestion frameworks (Fivetran, Airbyte, custom), orchestration (Airflow, Dagster, or similar), and lineage. Real experience with modern AI/ML platform patterns: feature stores, model registries, experiment tracking, prompt and evaluation frameworks, retrieval-augmented generation, and basic agentic workflows. A working point of view on AI safety: data classification, PII handling, access tiering, evaluation, and model-risk controls. Hands-on coder. Strong Python and SQL. Comfortable in Terraform or AWS CDK. Reads logs, fixes issues, ships pull requests. Player-coach experience. You have led small teams, mentored engineers, set hiring bars, and grown people. A strong communicator. You can drive an architecture decision review with engineers and explain trade-offs to executives in the same week. Bachelor's degree in computer science, engineering, or a related field. A master's degree is a plus, not a requirement. Bonus Points Experience in private-equity-backed or holding-company environments with multiple business units and inconsistent source systems. Experience designing AI guardrails for non-public, regulated, or competitively sensitive data. Track record of treating internal platforms as products, with named users, SLAs, and a real adoption strategy. Experience with Snowflake or Databricks. Useful when bridging to portfolio company data without forcing a single stack. Past experience as the first or early platform hire at a growth-stage company. Why Banyan Greenfield with real budget. You set the foundation, you do not inherit a tangle. Real ownership of the AI and data architecture for an entire holding company. A long-term horizon. We do not optimize for the next quarter, so the platform you build can compound. A team that treats AI as a serious capability, not a buzzword. We have already built internal AI tooling we use every day. A culture of accountable autonomy. We trust you to do the work. Competitive compensation, benefits, and meaningful long-term upside. Quick Facts Team AI & Data Science Reports to Head of AI (And Or) Head of IT Scope Player-coach. Hands-on architect today, leading a small platform team over time. Location 100% Remote Type Full-time Level Lead Compensation Competitive base of CAD $180,000 to $210,000 plus performance bonus and benefits. Final offer reflects experience and qualifications. How to Apply Send your resume and a short note describing a data or AI platform you have architected. Tell us the choices you made, what shipped to production, and what you would do differently if you were starting over today. We look forward to hearing from you. Diversity, Equity, Inclusion & Equal Employment Opportunity at Banyan: Banyan affirms that inequality is detrimental to our Global Teams, associates, our Operating Companies, and the communities we serve. As a collective, our goal is to impact lasting change through our actions. Together, we unite for equality and equity. Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance. Please Note: Banyan Software does not accept unsolicited resumes or applications submitted via email, LinkedIn, or other direct channels. All candidates must apply through our official Careers site to be considered for employment. Applications submitted outside of our applicant tracking system will not be reviewed. Recruitment Notice Banyan Software may use artificial intelligence (AI) tools to assist in screening and/or assessing applicants during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request accommodation. Beware of Recruitment Scams We have been made aware of individuals fraudulently posing as members of our Talent Acquisition team and extending fake job offers. These scams may involve requests for personal information or payment for equipment. . click apply for full job details

Job Description Job Description Company Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients' business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients' business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client's business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met Leading teams of data engineers and other technical team members through design, implementation and best practices. Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization Works to ensure the solutions recommended are providing business value and alignment with client's strategic goals Communication with non-technical executives focusing on value of modern enterprise level data solutions Driving innovative technology solutions through thought leadership on emerging trends Sharing project solutions and outcomes with colleagues to improve delivery on future projects Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent Partnering with CapTech business development team to demonstrate CapTech's technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture Ability to assess traditional and modern data architectural components based on business needs Experience in recommending data governance best practices including MDM, security, privacy and policies Experience leading enterprise engineering teams through implementations serving as POC on design decisions and best practices Preferred Qualifications Previous consulting industry experience Experience in recommending data governance best practices including MDM, security, privacy and policies Providing thought leadership and internal engagement with leadership and innovation across enterprise Participating in providing mentorship and investing talent growth within Data & Analytics practice area Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job Description Job Description This is NOT a remote position Job Description Eccalon is seeking a Senior SDET / QA Automation Engineer to build and own the automated testing strategy across our web applications and backend services supporting DoD, Intelligence, and enterprise programs. You will design and maintain robust test frameworks, integrate quality gates into CI/CD pipelines, and ensure the reliability of systems operating in regulated, compliance-driven environments. This is a hands-on senior role with broad visibility across the full engineering stack-working directly with software engineers, DevOps, and product teams to shift quality left and keep mission-critical software shipping with confidence. Responsibilities Test Automation & Framework Development Design, build, and maintain end-to-end UI automation frameworks using Playwright and/or Cypress across multiple web applications (e.g., lynxconnect.io, ). Develop and maintain API and backend test suites using Postman collections and REST Assured; validate authentication flows, data integrity, and service contracts. Write clean, maintainable test code in Python and/or JavaScript/TypeScript ; enforce consistent standards through code reviews and shared libraries. Build reusable test utilities, fixtures, and data factories that reduce test setup overhead and improve suite reliability. CI/CD Integration & Quality Gates Integrate automated test suites into CI/CD pipelines (GitLab CI/CD) to enforce quality gates on every pull request and deployment. Configure and maintain synthetic monitoring scripts (e.g., Playwright-based uptime checks) for production applications; triage and resolve false positives. Define and track test coverage metrics, pass rates, and flakiness trends; report quality signals to engineering leadership. API & Backend Testing Validate REST APIs against specifications; test authentication and authorization flows including OAuth2, SAML, OIDC, and JIT provisioning patterns. Develop data-driven test scenarios against AWS-hosted services (RDS/PostgreSQL, DynamoDB, Cognito) and Azure-backed platforms (GCC High). Collaborate with backend engineers to identify testability gaps in service design and recommend interface contracts that support automation. Cross-functional Collaboration & Quality Strategy Partner with DevOps, software engineering, and IT teams to embed testing earlier in the development lifecycle; contribute to definition-of-done criteria. Serve as the quality subject matter expert on the team-mentoring engineers on test best practices, automation patterns, and tooling selection. Maintain test documentation, test plans, and traceability matrices that satisfy compliance audit and ATO evidence requirements. Evaluate and recommend improvements to the overall QA toolchain and processes as applications and team scale. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field-or equivalent practical experience. 5+ years of experience in software development engineering in test (SDET), QA automation, or a related discipline. Hands-on proficiency with Playwright and/or Cypress for end-to-end UI test automation. Strong API testing skills using Postman (including collections, environments, and Newman for CI execution) and/or REST Assured. Solid programming skills in JavaScript/TypeScript and/or Python; ability to write production-quality test code, not just record-and-replay scripts. Experience integrating test automation into CI/CD pipelines (GitLab CI/CD, or Jenkins). Familiarity with AWS services (Cognito, RDS, DynamoDB, CloudWatch) and how they factor into end-to-end test design. Experience testing authentication and authorization flows (OAuth2, SAML, OIDC, MFA). Strong understanding of HTTP, REST, JSON, and web application architecture. Ability to work independently, prioritize across multiple projects, and communicate quality risk clearly to technical and non-technical stakeholders. Preferred Qualifications Experience with synthetic monitoring and uptime automation (e.g., Playwright-based health checks, Pingdom scripting). Familiarity with NIST 800-171, CMMC, or FedRAMP testing and traceability requirements. Experience testing applications hosted on Azure GCC High or AWS GovCloud environments. Background in performance or load testing (k6, JMeter, or Locust). Experience with accessibility testing (WCAG 2.1, 508 compliance) and security-focused test cases (OWASP Top 10 validation). ISTQB certification or equivalent QA/testing credential.