• Build and ship the systems behind Tern's AI features • Build the evaluation systems that answer whether an AI feature is good enough to ship and good enough to keep • Own data quality as a first-class concern • Build and maintain the ETL systems • Work alongside product squads to build reporting

• Own end-to-end data systems and pipelines, that other teams and customers rely on • Design and implement data integrations across multiple backend business systems, ensuring efficient and reliable data flows • Work on streaming data processing using frameworks like Apache Beam to handle real-time data ingestion and transformation • Build and maintain APIs to enable seamless data access and sharing across internal teams and platforms • Manage orchestration and automation of workflows using Airflow on Kubernetes • Define what "correct" means for the data you own, and back it with monitoring, alerting, and integration tests • Build reusable patterns and components (hooks, plugins, alerting utilities) that are easily adoptable by other engineers and processes • Break down ambiguous work into actionable tasks, surface edge cases and failure modes early, and clarify requirements with stakeholders • Communicate tradeoffs, assumptions, and risks clearly in design reviews and PRs

• Own the data platform strategy end-to-end — from ingestion architecture and scalable, multi-tenant data infrastructure to transformation pipelines, a modern BI layer, and how the platform grows as we add clients and data sources. • Drive the AI-on-data layer. Partner with our AI engineer to define how agents and LLMs access, query, and act on platform data — semantic models, retrieval patterns, and in-warehouse AI primitives. • Build and productize our integrations motion — ingesting data from a growing set of first- and third-party sources. Turn what today requires custom work into a repeatable, operable pattern. • Lead and develop our data engineering team. You'll manage directly, set technical direction, and raise the bar on quality — starting with a tight-knit team with room to grow. • Define the engineering standards for the data org — CI/CD, testing, infra-as-code, data lineage, governance, and observability — so the platform scales without fragility. • Be a strong hands-on presence on the warehouse and transformation layer — fluent enough in Snowflake to contribute meaningfully alongside the team, not just oversee it. • Partner with go-to-market teams to define what great looks like for client onboarding and data delivery, and drive engineering execution against that bar.

Role Description As a Senior Data Engineer , you will play a critical role in designing, building, and maintaining the data infrastructure that powers analytics solutions across a variety of enterprise client environments. This role combines modern data engineering practices with strong database and data quality fundamentals. - Build scalable ETL/ELT pipelines. - Design robust data models. - Integrate data from diverse platforms. - Ensure reliable, well-documented data foundations. - Work primarily within Microsoft Fabric environments. - Collaborate closely with analytics, engineering, and client stakeholders. Qualifications - 8+ years of professional experience in Data Engineering, Backend Platform Engineering, or large-scale data infrastructure. - 3+ years of experience in client-facing or consulting-focused data engineering environments. - Advanced SQL expertise, including schema design, query optimization, complex views, CTEs, window functions, deduplication strategies, and data modeling. - Strong Python experience for ETL development, automation, PySpark, and data processing workflows. - Hands-on experience building and maintaining enterprise-scale ETL/ELT pipelines in production environments. - Experience integrating data from REST APIs, GraphQL endpoints, and webhook-based systems. - Strong understanding of data quality practices, validation processes, anomaly detection, and data governance. - Experience working across multiple concurrent client engagements with varying levels of data maturity. - Excellent documentation and communication skills, including data dictionaries, lineage documentation, and technical handoffs. - Strong ownership mindset and the ability to operate independently in fast-paced environments. Requirements - Design, build, and maintain ETL/ELT pipelines for enterprise data ingestion and transformation across multiple client environments. - Develop and maintain SQL views, schemas, and transformation logic that serve as the foundation for Power BI and other analytics solutions. - Profile source data before development begins, identifying data quality issues, anomalies, duplicates, null values, and integrity concerns. - Produce and maintain comprehensive data dictionaries, lineage documentation, and transformation documentation for every engagement. - Build and manage data pipelines primarily within Microsoft Fabric while supporting Databricks and other client-specific environments as needed. - Integrate data from REST APIs, GraphQL endpoints, and webhook-based sources, implementing authentication, pagination, rate-limiting, and error handling. - Implement monitoring, alerting, and refresh processes to proactively identify and resolve pipeline failures. - Validate data integrity throughout development to ensure reliable and accurate downstream analytics. - Translate client business requirements into scalable technical data models while identifying limitations and gaps within source systems. - Collaborate closely with visualization developers to ensure the data layer supports reporting and analytics requirements. - Create and maintain clear handoff documentation, architecture documentation, and operational runbooks. - Mentor junior engineers and contribute to engineering best practices, documentation standards, and delivery excellence. - Participate in engagement planning, solution design, and project execution from kickoff through delivery. Benefits - Remote work opportunity. - Pay Range: $70 — $70 USD. Company Description EVOCS’s journey began with a mission to empower businesses with advisory expertise, empowered with ideal technologies to provide them with comprehensive solutions to grow and prosper. Founded by a team of passionate experts, EVOCS has grown into a trusted partner to a growing number of leaders across their respective industries. - Customer-centric Solutions - Innovation & Excellence - Integrity & Transparency - Data-driven Decision Making