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In office (Brownsville)
Seniority
Senior
Employment
Full-Time
Removed from the employer's board on Nov 5, 2026. First seen by Alion on Nov 5, 2026.
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Michels Corporation is a contractor for energy and infrastructure projects. Michels is family owned and committed to safety, quality and evolving market needs.
Michels Corporation is seeking a Senior Data Engineer for its Information Technology organization. The role builds and operates lakehouse pipelines and reusable data products that support analytics, reporting, operational insight, and AI, while also setting engineering standards, improving observability, and mentoring other engineers.
Responsibilities
- Build and maintain batch, streaming, and event-driven ingestion pipelines that reliably connect enterprise source systems to the lakehouse
- Develop transformation logic and orchestrated workflows that turn raw source data into usable, governed datasets
- Design and optimize data assets that support analytics, operational reporting, downstream applications, and AI-ready consumption
- Instrument pipelines and data products with validation checks, monitoring, and alerting so data and pipeline issues are detected and resolved quickly
- Tune pipeline, storage, and compute workloads for performance, scalability, and cost efficiency
- Establish engineering standards and reference architectures that allow a lean team to scale responsibly
- Lead technical design reviews and mentor engineers through pairing, code review, and technical guidance
Skills
- * Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent hands-on experience
- * 5+ years of production experience in data engineering, data platform engineering, analytics engineering, software engineering, or a related discipline
- * Proven experience building and operating large-scale cloud data platforms such as Databricks, Snowflake, Microsoft Fabric, or BigQuery
- * Proficiency with SQL, Python, Spark or similar distributed processing frameworks, and modern engineering practices including version control, automated testing, CI/CD, and streaming ingestion
- * Experience building reliable, observable pipelines with monitoring, lineage, and data quality controls that operate within enterprise governance, privacy, and security requirements
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