We are seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision making. This role will also play a key part in establishing and enforcing data governance standards to ensure data is accurate, secure, and trusted across the organization.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience)
- 2–5+ years of experience in data engineering or related roles
- Strong SQL skills and experience working with relational databases
- Experience building data pipelines using tools such as Python, Spark, or similar
- Familiarity with cloud platforms (Azure, AWS, or GCP)
- Experience with data warehousing technologies (e.g., Snowflake, BigQuery, Redshift, or Fabric)
- Understanding of data modeling concepts (star schema, normalization, etc.)
- Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)
- Preferred Qualifications: Experience with orchestration tools (Airflow, Azure Data Factory, etc.), Knowledge of real-time/streaming data processing, Familiarity with DevOps practices (CI/CD, version control), Experience working in a lakehouse architecture (e.g., Delta Lake, Microsoft Fabric), Experience with data governance tools (e.g., Microsoft Purview, Collibra, Alation), Strong understanding of data security and compliance best practices, Strong problem-solving and communication skills
Benefits
- Competitive salary
- Health benefits
- 401k matching
- Generous paid time off
- Relocation assistance
Follow us on social media