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

Job Information

• Job Opening Status In-progress
• Date Opened 10/09/2025
• Industry IT Services
• Job Type Full time
• Remote Job

Job Description

This is a remote position.

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

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.