Sr. Data Analytics Engineer - Databricks/Apache Spark, PySpark Job at Ajmera Infotech Inc., San Jose, CA

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  • Ajmera Infotech Inc.
  • San Jose, CA

Job Description

This is a remote position.

Job Title: Sr. Data Analytics Engineer -  Databricks/ Apache Spark , PySpark

Company: Ajmera Infotech Inc.

Location: Remote (U.S., flexible across U.S. time zones)

Employment Type: Contract - 1099 (Independent Contractor)

Experience: 7+ years

About Ajmera Infotech Inc.:

Join Ajmera Infotech, a global engineering partner powering a $3-billion NYSE-listed health-tech company. Our 120-engineer team builds planet-scale data systems that support FDA-regulated devices, HIPAA-compliant analytics, and business decisions that save lives.

We are looking for a Senior Data Analytics Engineer who thrives on turning massive datasets into governed, actionable intelligence using Databricks, PySpark, and Power BI.

If you want to own end-to-end data engineering-from lakehouse pipelines to enterprise dashboards-this role is for you.

Why You will Love Working Here:

  • Impact at scale - Your pipelines will serve thousands of clinicians and patients globally.
  • Elite tech stack - Databricks, Apache Spark, PySpark, Delta Lake, Power BI, Airflow.
  • Modern BI evolution - Lead SSRS-to-Power BI migrations for a global health-tech enterprise.
  • Engineering-driven culture - Code reviews, CI/CD, TDD, and continuous delivery of insight.
  • Domain that matters - HIPAA, SOC 2, and FDA-regulated analytics platforms.
  • Career velocity - Grow within a data organization known for technical mentorship and cross-platform expertise.

Requirements

Key Responsibilities

  • Build and optimize data pipelines in PySpark / Databricks for ingestion, transformation, and curation.
  • Design dimensional/star schemas using Delta Lake and Unity Catalog.
  • Develop, monitor, and scale workflows via Databricks Workflows or Airflow with SLA-based alerting.
  • Deliver Power BI dashboards and paginated reports with optimized DAX and semantic models.
  • Execute SSRS-to-Power BI migrations, preserving business logic and performance.
  • Analyze and manage compute performance and cost optimization for Databricks and Power BI Premium.
  • Maintain detailed, version-controlled data documentation and lineage.
  • Partner with data scientists, analysts, and business leaders to deliver reliable, validated insights.

Must-Have Skills

  • 5+ years in analytics or data engineering roles.
  • 3+ years hands-on with Databricks or Apache Spark in production environments.
  • Advanced PySpark and SQL (windowing, optimization).
  • Strong experience with Power BI (DAX, data modeling, security, refresh cycles).
  • Proven track record of SSRS migration and semantic model design.
  • Git, CI/CD, and data testing frameworks (e.g., Great Expectations).
  • Clear communication and ability to bridge technical and non-technical teams.

Nice-to-Have Skills

  • Databricks certification (Data Engineer Associate or Professional).
  • Streaming pipeline experience (Structured Streaming, Kafka).
  • Familiarity with dbt, Unity Catalog, and data governance models.
  • Knowledge of cost governance for cloud compute and BI capacity.
  • Background in health-tech, life sciences, or other regulated data domains.

Benefits

Why Join This Opportunity:

  • Work remotely with flexibility across U.S. time zones.

  • Engage in strategically important, high-impact analytics projects for a top-tier NYSE-listed health-tech company.

  • Collaborate with a high-performing, innovative team on cutting-edge data initiatives.

  • Competitive contract rates for independent 1099 consultants.

How to Apply:

Share your resume, LinkedIn profile, and relevant project experience to jobs@ajmerainfotech.com



Job Tags

Full time, Contract work, For contractors, Remote work, Flexible hours,

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