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Senior Big Data Software Engineer [Databricks, Azure]
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingBuild scalable cloud data pipelines in Azure with Data Factory, Data Lake Storage and Databricks
Migrate on-premises MS SQL databases to Azure Data Lake in Delta Lake format
Develop interfaces connecting non-Microsoft proprietary applications
Guide Data Lake, DWH and Delta Lakehouse architecture decisions
Assess and prioritize new feature proposals by business value
From the employer’s posting
Build scalable, cloud-based systems in Azure using tools like Azure Data Factory, Azure Data Lake Storage, and Databricks
Migrate on-premises MS SQL databases to Azure Data Lake, utilizing the Delta Lake format
Develop interfaces that connect non-Microsoft proprietary applications
Provide expertise in Data Lakes, Data Warehouses (DWH), and Delta Lakehouse architectures
Assess new feature proposals, prioritize them based on business value
What you’ll bring
All qualificationsCore experience
- 4+ years of experience as a Data Engineer
- Expertise with Databricks or Spark
- Background in Python or Scala
- Experience with AWS or Azure cloud
- Agile or XP methodology experience
Qualification wording
4+ years of experience as a Data Engineer
Expertise with Databricks or Spark
Background in working with Python or Scala
Experience with Clouds: AWS or Azure
Background in working with Agile or XP methodologies
Tools in this posting
- Python
- Scala
- SQL
- AWS
- Azure
- Databricks
- Delta Lake
Source — Tool mentions in context
We are seeking a skilled Big Data Engineer to become an essential part of this forward-looking and dynamic team. In this role, you will leverage advanced cloud technologies to deliver impactful solutions. If you excel at tackling complex challenges, creating robust cloud-based solutions, and driving meaningful business outcomes, this opportunity offers the chance to join a fast-paced, collaborative environment where your work shapes global success. Responsibilities Build scalable, cloud-based systems in Azure using tools like Azure Data Factory, Azure Data Lake Storage, and Databricks to enhance seamless, high-performance data pipelines Migrate on-premises MS SQL databases to Azure Data Lake, utilizing the Delta Lake format to optimize operational performance Develop interfaces that connect non-Microsoft proprietary applications, enabling interoperability and unlocking valuable data insights Provide expertise in Data Lakes, Data Warehouses (DWH), and Delta Lakehouse architectures to guide transformative business solutions Assess new feature proposals, prioritize them based on business value, and collaborate to make impactful product development decisions Requirements 4+ years of experience as a Data Engineer Background in working with Python or Scala Expertise with Databricks or Spark Experience with Clouds: AWS or Azure Background in working with Agile or XP methodologies, thriving in fast-moving, adaptive environments Experience in AI development would be a plus Good English communication skills (Upper-Intermediate/B2+ or higher) to engage effectively with diverse teams and stakeholders Nice to have Proficiency in advanced Azure tools such as Synapse Analytics, Cosmos DB, or Apache Synapse Flexibility to use Core Python or Scala for automation and advanced data processing
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
656 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordYour next step
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Has EPAM Systems posted this job before?
Yes. We’ve followed one other Senior Big Data Software Engineer [Databricks, Azure] job there since November 2026. It is still up.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
We are seeking a skilled Big Data Engineer to become an essential part of this forward-looking and dynamic team. In this role, you will leverage advanced cloud technologies to deliver impactful solutions. If you excel at tackling complex challenges, creating robust cloud-based solutions, and driving meaningful business outcomes, this opportunity offers the chance to join a fast-paced, collaborative environment where your work shapes global success. Responsibilities Build scalable, cloud-based systems in Azure using tools like Azure Data Factory, Azure Data Lake Storage, and Databricks to enhance seamless, high-performance data pipelines Migrate on-premises MS SQL databases to Azure Data Lake, utilizing the Delta Lake format to optimize operational performance Develop interfaces that connect non-Microsoft proprietary applications, enabling interoperability and unlocking valuable data insights Provide expertise in Data Lakes, Data Warehouses (DWH), and Delta Lakehouse architectures to guide transformative business solutions Assess new feature proposals, prioritize them based on business value, and collaborate to make impactful product development decisions Requirements 4+ years of experience as a Data Engineer Background in working with Python or Scala Expertise with Databricks or Spark Experience with Clouds: AWS or Azure Background in working with Agile or XP methodologies, thriving in fast-moving, adaptive environments Experience in AI development would be a plus Good English communication skills (Upper-Intermediate/B2+ or higher) to engage effectively with diverse teams and stakeholders Nice to have Proficiency in advanced Azure tools such as Synapse Analytics, Cosmos DB, or Apache Synapse Flexibility to use Core Python or Scala for automation and advanced data processing
Source details
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