Sr Data Engineer Consultant - Remote

Experteer Overview In this role you will design, build, and scale data pipelines and analytics platforms to enable enterprise insights. You will work within a technology team to deliver data-driven solutions, collaborate with stakeholders, and mentor engineers to raise technical standards. You will tackle data security, governance, and quality while advancing analytics and machine learning capabilities. This is a chance to shape data architecture for impactful healthcare outcomes at scale. Compensation / Benefits * Design, build, and maintain scalable data pipelines and platforms * Develop resilient data architectures across warehouses, lakes, and streaming environments * Ensure data security, governance, quality, and standardization * Lead end-to-end delivery of analytics data products from design to production support * Collaborate with business stakeholders and engineering partners to enable BI, analytics, and ML solutions * Mentor and guide a team of data engineers and promote best practices Tasks * Bachelor’s or Master’s in Computer Science, Engineering, or related field * 8+ years of relevant experience * Languages: Python and/or Scala/Java * Advanced SQL skills for data manipulation and performance tuning * Experience with Apache Spark, Databricks, Snowflake or Kafka * Exhaustive experience with Azure cloud services * Designing, building, and optimizing ETL/ELT pipelines * Data modeling, warehousing (Snowflake), and ETL/ELT best practices * Familiarity with orchestration tools (Airflow), CI/CD, Git, and Linux * Solid communication, collaboration, and mentoring abilities Key requirements * comprehensive benefits package * incentive and recognition programs * equity stock purchase * 401k contribution * remote work flexibility * career development opportunities

best practices Tasks * Bachelor’s or Master’s in Computer Science, Engineering, or related field * 8+ years of relevant experience * Languages: Python and/or Scala/Java * Advanced SQL skills for data manipulation and performance tuning * Experience with Apache Spark, Databricks, Snowflake or Kafka * Exhaustive experience with Azure cloud services * Designing, building, and optimizing ETL/ELT pipelines * Data modeling, warehousing (Snowflake), and ETL/ELT best practices * Familiarity with orchestration tools (Airflow), CI/CD, Git, and Linux * Solid communication, collaboration, and mentoring abilities Key requirements * comprehensive benefits package * incentive and recognition programs * equity stock purchase * 401k contribution * remote work flexibility * career development opportunities