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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer (Azure I Databricks I Snowflake) - **Company:** TekWissen LLC - **Location:** Frisco, TX, United States - **Experience:** Starter - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Microsoft Azure, Common ISDN Application Programming Interface (CAPI), Data Validation, Data Deduplication, Information Engineering, Data Governance, Middleware, Performance Tuning, SQL Databases, Systems Integration, Web Platforms, Data Ingestion, Azure Data Factory, Snowflake, Apache Spark, Pyspark, Data Pipelines, Databricks - **Published:** August 10, 2026 - **Apply:** https://www.careerjet.com/jobad/us39627c33c09cb42f5847a9cf10d3b407 ## About the Role * Strong coding: PySpark + SQL (hands-on, not only orchestration) Databricks: notebooks/jobs, performance tuning fundamentals, medallion patterns Spark fundamentals: partitioning, skew/shuffle optimization, understanding failures via logs Snowflake: data modeling/usage for analytics/warehousing workloads * Azure ecosystem: Azure Data Factory (ADF) (orchestration) Azure-native integrations and services exposure Data engineering reliability patterns: validation, idempotency, replay/backfills, dedup, auditability * Data governance: Unity Catalog (preferred), lineage, access control patterns, PII handling Ownership mindset: can execute independently without constant approvals/check-ins Nice-to-Have Skills * Event-driven/streaming ingestion exposure (even if primary is batch today) Delta/Databricks patterns such as Delta Live Tables (DLT) (some workflows exist) Experience building configurations. ## Description * Data Engineer for Azure-native third-party data enrichment platform using Databricks/Spark + Snowflake; focus on reliable governed pipelines, strong Spark troubleshooting, privacy/governance, and cost-aware engineering. * You will join a data engineering team responsible for third party data enrichment augmenting first party datasets with external identity/attribute data to support analytics, activation, and research. * The enriched datasets are consumed by multiple downstream systems and teams, including the CDP and other analytics/research stakeholders. * The platform is Azure-native and built primarily on Databricks (processing + some ML workloads) and Snowflake (analytics/warehouse). * A major focus is building reliable, governed, vendor agnostic datasets while ensuring privacy/compliance, data governance, and cost efficiency., * As a Data Engineer, you will Data Ingestion & Pipeline Development Build and enhance ingestion pipelines for large batch and event-driven paths (streaming may evolve over time). * Integrate data from: Third party enrichment vendors (identity + attributes, very large volumes) Digital platforms via Conversion API (CAPI) integrations (through intermediary/middleware) Rewards/Promotions systems for offer issuance/redemption/consumption data. * Data Quality, Reliability & Operations Implement strong data validation, idempotency, replay/backfill strategies, and deduplication to prevent quality drift. * Own monitoring, alerting, dashboarding, and operational readiness (wrappers around core pipelines). * Troubleshoot failures with root cause analysis not just reruns: Interpret Spark logs Diagnose performance issues (shuffle, skew, partitioning) Improve stability and SLA adherence Governance & Compliance (First-class NFR) * Apply privacy, compliance, and governance requirements across pipelines and datasets. * Support governance standards such as: Unity Catalog, lineage, access controls Managing PII vs non PII access Documentation of tables, schemas, catalogs, and cluster usage Cost Governance & Performance Optimization Design pipelines with cost awareness from day one: Cluster sizing, workload tuning, efficient compute/storage usage Trade-off decisions balancing cost vs quality vs SLA, Job Title: Azure Databricks Data Engineer Location: Frisco, TX 75034 (Onsite) Duration: 12 Months Contract JOB DESCRIPTION: Must have skills: Certifications in Databricks / … + 1 month ago ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)