Urgent! Sr. Data Analytics Engineer - Databricks/Apache Spark, PySpark Job Opening In San Jose – Now Hiring Ajmera Infotech Inc.
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
Education: BE (Computer Engineering / Computer Science / Information Technology) or MCA.
7+ years
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’re 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
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Great news! Ajmera Infotech Inc. is currently hiring and seeking a Sr. Data Analytics Engineer Databricks/Apache Spark, PySpark to join their team. Feel free to download the job details.
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