• The lakehouse and the streaming ingestion that feeds it. • You’d help set the multi-year technical direction, design the golden paths, and ship the work — directly, with your hands on the code that matters. • You’d report to the Director of Data Engineering and partner with a peer Manager whose scope is people leadership and operational delivery. • You own technical direction, application architecture, and the engineering bar. • You’ll work alongside other senior staff engineers across the broader data platform org.

• Create and maintain optimal data pipeline architecture from multiple data sources. • Assemble large, complex data sets that meet functional / non-functional business requirements. • Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc. • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources. • Ensure robust data validation and verification processes to ensure the correctness of data for reporting. • Develop and maintain data warehousing approaches, including the modelling and pipelining of data for storage and retrieval. • Keeping data separated and secure as per best practice guidelines. • Ensure that the data taken from the information sources is accurate, liaising with other business functions when necessary. • Proactively keep up to date with the latest cloud data technology. • Provide support, documentation and training to other applicable team members as and when required to ensure that overall objectives are met.

Data Engineer - Remote Location: Rochester NY US Job Description: With more than 30 years of success, Mindex is a software development and cloud services company known for delivering innovative solutions. We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, giving us deep expertise in developing and scaling modern software. Named the #1 Software Developer in the 2025 RBJ Book of Lists and ranked #80 in the Rochester Chamber Top 100, we're passionate about helping our clients succeed and creating opportunities for our team to grow and make an impact. We are looking for a Data Engineer who enjoys solving complex problems and building scalable data solutions. This person will play a key role in designing, developing, and optimizing data platforms that support analytics, reporting, machine learning, AI initiatives, and other data-driven business needs. The ideal candidate is comfortable working on new projects, contributing to technical architecture decisions, and collaborating with cross-functional teams to deliver end-to-end solutions. Strong communication skills are important, as you'll need to explain technical concepts to both technical and non-technical audiences and work closely with clients, stakeholders, and team members. Essential Functions: - Assemble large, complex data sets that meet business requirements through extraction, transformation, and loading of data from a wide variety of data sources. - Provide operational support and troubleshooting for existing processes and systems. - Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities. - Deliver automation & efficient processes to ensure high quality throughput & performance of the entire data & analytics platform. - Ensure data extraction, transformation and loading data meet data security & compliance requirements. - Engage with data source platform leads to gain tactical and strategic understanding of data sources required by Agency Data Services AI/ML as well as Data Office standards. - Create data tools for data scientist team members that assist them in building and optimizing models. Requirements - BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required. - 4+ years working with SQL, Snowflake, Databricks, Spark, and other big data technologies; 4+ years using Python, SQL, PySpark, R, or similar languages and manipulating, processing, and extracting value from large, disconnected data sets. - 4+ years building and optimizing data pipelines, architectures, and data sets to answer business questions and identify opportunities for improvement - 2+ years supporting large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB. - 2+ years addressing privacy, compliance, and security aspects of data storage and processing; and delivering data solutions in Agile environments. - 2+ years with software development and CI/CD methodologies and tools for automated infrastructure code and MLOps and designing, implementing, and maintaining automation platforms and tools, including Ansible Tower, Azure, ARM, Terraform Enterprise, Azure DevOps, and GitHub Actions. - 2+ years with Salesforce FSC and Salesforce Data Cloud. Skills & Competencies: - Strong communication and problem-solving skills. - Troubleshooting expertise. - Proficiency in Python, SQL. - Experience with Extract, Transform, Load (ETL) processes. - Experience building data pipelines. - Experience with Apache Spark and Apache Hadoop. - Experience with Amazon Web Services. Benefits - Health insurance - Paid holidays - Flexible time off - 401k retirement savings plan and company match with pre-tax and ROTH options - Dental insurance - Vision insurance - Employer paid disability insurance - Life insurance and AD&D insurance - Employee assistance program - Flexible spending accounts - Health savings account with employer contributions - Accident, critical illness, hospital indemnity, and legal assistance - Adoption assistance - Domestic partner coverage The salary range for this role reflects a wide range of factors including skill set, experience, training, and internal equity. It is not typical for individuals to be hired at the top of the range. The salary range is $90,000 - $140,000. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor, or take over, sponsorship of an employment Visa at this time.

Role Description The role involves designing and maintaining semantic schemas and knowledge graphs, integrating heterogeneous data sources, and managing ontology governance. - Domain ontologies: Design and maintain semantic schemas that describe key engineering and manufacturing entities — products, BOMs, plants, equipment, processes, work orders — and their relationships across systems. - Knowledge graphs: Implement ontologies using semantic web or graph technologies (RDF/OWL/SHACL/SPARQL or property-graph equivalents like Neo4j). Build, query, validate, and tune knowledge graphs in production. - Data alignment: Integrate heterogeneous data sources — PLM, ERP, MES, CMMS, QMS, data lakes — into a common vocabulary. Align schemas, code sets, and master data to the ontology so AI services see one coherent picture. - Semantic layer: Design the enterprise semantic layer that BI tools, analytics platforms, and AI/LLM applications query consistently. Define core business entities, metrics, and hierarchies and map them to existing data stores. - Ontology governance: Manage versioning, documentation, reuse of industry standards, and enforcement of modeling best practices across pods. Your ontologies are shared assets — they must be maintainable by others. - What You Won't Own: - AI model development or prompt engineering — you provide the data substrate, the AI engineers build on it. - Enterprise system administration — you integrate data from systems, you don't manage them. - Business process decisions — Domain SMEs and the Product Owner define what matters; you model it. - What Makes This Role Different: - Your ontologies directly feed AI systems that make real business decisions. A bad data model doesn't just slow a report — it makes an AI agent reason incorrectly. - You will work across multiple enterprise domains — HR, manufacturing, CRM, supply chain — building a shared knowledge architecture, not siloed data models. - You will collaborate with business SMEs who understand the domain and AI engineers who consume your models. You translate between both worlds. Qualifications - Bachelor’s degree in Computer Science, Data Science, Information Science, or a related field, plus 5 years of experience; or Master’s degree plus 3 years of experience. - Hands-on experience with knowledge graph or ontology technologies — RDF/OWL/SHACL/SKOS, SPARQL, and/or graph databases (Neo4j, Stardog, Ontotext, AWS Neptune, or similar). - Experience integrating disparate enterprise data sources into a shared vocabulary or knowledge graph — you have aligned data across systems that use different schemas, code sets, and terminology. - Strong data modeling skills — dimensional modeling, semantic modeling, or formal ontology design applied in production, not just academic settings. - Experience with enterprise data platforms — data warehouses, data lakes, Snowflake, Palantir Foundry, or similar. - S. citizenship required. Department of Defense Secret security clearance is required at time of hire. Requirements - Experience building semantic layers or metrics layers consumed by BI, analytics, or AI/LLM applications. - Experience with enterprise systems data (ERP, MES, PLM, CRM) — you understand the data structures these systems produce. - Familiarity with AI/ML data requirements — embeddings, vectorization, retrieval-augmented generation, and how knowledge graphs support LLM reasoning. - Comfortable leading workshops with non-technical business SMEs to capture requirements and iteratively refine data models. - Experience with ontology governance — versioning, documentation, standards reuse across teams or an enterprise. Benefits - Remote — 100% telework. - 9/80 schedule. - Defense industry experience is not required. Salary Note This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled. Combined Salary Range: USD $142,696.00 - USD $158,303.00 /Yr. Company Description General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. - We value trust, honesty, alignment and transparency. - We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. - You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team! Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans