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Lead Palantir Data Software Engineer
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and manage complex data pipelines and analytics solutions for insurance problems
Develop scalable workflows in Python and PySpark for large datasets
Architect data warehousing solutions using ELT and distributed computing
Integrate Palantir Foundry for data transformation and visualization
Mentor team members and support their technical growth
From the employer’s posting
Design and manage complex data pipelines and analytics solutions to address business challenges in the Insurance domain
Develop scalable workflows using Python and PySpark to handle large datasets efficiently
Architect advanced data warehousing solutions, focusing on ELT techniques and distributed computing systems
Integrate and leverage Palantir Foundry to support advanced data transformation and visualization needs
Mentor team members, fostering a culture of technical growth and innovation
Tools in this posting
- JavaScript
- Python
- SQL
- Spark
- PySpark
Source — Tool mentions in context
We are seeking a highly skilled and experienced Lead Palantir Data Software Engineer to join our dynamic team and lead transformative data projects within the Insurance domain. This role is ideal for professionals who excel at addressing complex big data challenges, leveraging cutting-edge technologies like Palantir Foundry, and building scalable analytics solutions to empower critical business decision-making. Responsibilities Design and manage complex data pipelines and analytics solutions to address business challenges in the Insurance domain Develop scalable workflows using Python and PySpark to handle large datasets efficiently Optimize querying and data manipulation through expertise in SQL, with a preference for Spark SQL Architect advanced data warehousing solutions, focusing on ELT techniques and distributed computing systems Collaborate with stakeholders to align data solutions with organizational goals and requirements Apply Agile and Scrum methodologies to drive iterative development processes and deliver results effectively Integrate and leverage Palantir Foundry to support advanced data transformation and visualization needs Analyze, troubleshoot, and resolve technical issues to ensure data solution reliability and scalability Mentor team members, fostering a culture of technical growth and innovation Communicate complex technical concepts clearly and professionally to diverse audiences Support and enhance cross-functional collaboration in a global, multicultural team environment Requirements Bachelor's degree or equivalent in Computer Science, Data Science, or related field 9-12 years of IT experience, including at least 5 years focused on large-scale distributed computing systems At least 6 months of hands-on development experience with Palantir Foundry Proficiency in Python and PySpark for building and optimizing data pipelines Expertise in SQL, including Spark SQL, for advanced querying and data manipulation Strong knowledge of data warehousing principles and ELT techniques Background in Agile and Scrum methodologies to manage and execute projects Strong analytical and problem-solving skills for complex data challenges Capability to work autonomously and manage workloads effectively Proven ability to communicate technical solutions through written and verbal means Flexibility to collaborate in a global and multicultural environment English language proficiency at an Upper-Intermediate level (B2) or higher Nice to have Background in the Insurance domain or experience in Finance functions across industries Familiarity with front-end technologies like HTML, CSS, and JavaScript Experience with Gradle for build automation Showcase of leading cross-functional or globally distributed teams Understanding of machine learning principles for data-driven insights
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 2 other Lead Palantir Data Software Engineer jobs there since November 2026. All 2 are 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 highly skilled and experienced Lead Palantir Data Software Engineer to join our dynamic team and lead transformative data projects within the Insurance domain. This role is ideal for professionals who excel at addressing complex big data challenges, leveraging cutting-edge technologies like Palantir Foundry, and building scalable analytics solutions to empower critical business decision-making. Responsibilities Design and manage complex data pipelines and analytics solutions to address business challenges in the Insurance domain Develop scalable workflows using Python and PySpark to handle large datasets efficiently Optimize querying and data manipulation through expertise in SQL, with a preference for Spark SQL Architect advanced data warehousing solutions, focusing on ELT techniques and distributed computing systems Collaborate with stakeholders to align data solutions with organizational goals and requirements Apply Agile and Scrum methodologies to drive iterative development processes and deliver results effectively Integrate and leverage Palantir Foundry to support advanced data transformation and visualization needs Analyze, troubleshoot, and resolve technical issues to ensure data solution reliability and scalability Mentor team members, fostering a culture of technical growth and innovation Communicate complex technical concepts clearly and professionally to diverse audiences Support and enhance cross-functional collaboration in a global, multicultural team environment Requirements Bachelor's degree or equivalent in Computer Science, Data Science, or related field 9-12 years of IT experience, including at least 5 years focused on large-scale distributed computing systems At least 6 months of hands-on development experience with Palantir Foundry Proficiency in Python and PySpark for building and optimizing data pipelines Expertise in SQL, including Spark SQL, for advanced querying and data manipulation Strong knowledge of data warehousing principles and ELT techniques Background in Agile and Scrum methodologies to manage and execute projects Strong analytical and problem-solving skills for complex data challenges Capability to work autonomously and manage workloads effectively Proven ability to communicate technical solutions through written and verbal means Flexibility to collaborate in a global and multicultural environment English language proficiency at an Upper-Intermediate level (B2) or higher Nice to have Background in the Insurance domain or experience in Finance functions across industries Familiarity with front-end technologies like HTML, CSS, and JavaScript Experience with Gradle for build automation Showcase of leading cross-functional or globally distributed teams Understanding of machine learning principles for data-driven insights
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
India
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