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EPAM is looking for a skilled&nbsp;Senior Palantir Data Engineer&nbsp;to join our growing global team of data engineering professionals. This is an exciting opportunity to work on cutting-edge Data Transformation projects that utilize Big Data and Machine Learning to solve emerging challenges in the Property &amp; Casualty business domain.If you’re eager to apply your expertise in Python/PySpark, SQL and Palantir to design and implement complex data pipelines while collaborating with a multicultural and dynamic team, we’d love to hear from you!The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Lead the design and implement robust, large-scale data pipelines and analytics solutions</li><li>Oversee the monitoring and optimization of data pipelines for performance and scalability using advanced tools and techniques, including Python/PySpark and structured query languages</li><li>Optimize data workflows to support critical decision-making processes</li><li>Harness state-of-the-art tools and technologies (including Palantir Foundry) to address new and emerging business challenges</li><li>Partner with cross-functional and globally distributed teams (e.g., data scientists, analysts, business stakeholders) to align project goals and execution strategies</li><li>Contribute to a global strategic initiative focused on enhancing the ability to make data-driven decisions across the Property &amp; Casualty value chain</li><li>Stay ahead of emerging technologies and trends (e.g., Generative AI, Machine Learning) and recommend potential applications in the data ecosystem</li></ul>Requirements<ul><li>Bachelor’s degree (or equivalent) in Computer Science, Data Science or a related discipline</li><li>5+ years of experience working with large-scale distributed computing systems</li><li>Proficiency in Python/PySpark to build and optimize complex data pipelines</li><li>Hands-on experience working with Databricks for large-scale data processing and analytics</li><li>Strong SQL skills (preferably Spark SQL) for data querying and manipulation</li><li>Deep understanding of data warehousing concepts and ELT techniques</li><li>Experience with Palantir Foundry is a must</li><li>Familiarity with Agile and Scrum development methodologies</li><li>Strong analytical and problem-solving skills</li><li>Self-starter with a positive outlook and an eagerness to learn</li><li>Self-direction and effective workload management</li><li>Ability to work enthusiastically in a global and multicultural environment</li><li>Strong interpersonal and communication skills, including clear written and verbal expressions in complex contexts</li></ul>Nice to have<ul><li>Knowledge of HTML, CSS, JavaScript and Gradle</li><li>Experience in the insurance domain or the financial industry</li><li>Familiarity with Microsoft Power BI</li><li>Exposure to Machine Learning or Generative AI technologies</li></ul>We offer<ul><li>For you:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)</li><li>Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest

Senior Palantir Data Engineer Remote

Senior Palantir Data Engineer

As Senior Manager, DevOps Engineer (Individual Contributor), you will be the build, release, and reliability backbone for our Python SDK—a pip-installable package that provides reusable, modular AI capabilities (RAG components, agent/tool cookiecutters, MCP adaptors, standardized interfaces). You will design automated pipelines that enforce code quality, security, reproducibility, benchmarking, and integration tests for the SDK and ensure compatibility and operability for platform services that consume it.You’ll collaborate closely with:<ul><li>Embedded AI Architecture &amp; Solution Design to prioritize capabilities and validate interfaces against real solution patterns.</li><li>AI Engineering to align PI increments and integrate external technologies into the SDK.</li><li>Digital Creation Centers &amp; Forward Impact Teams (FITs) as consumers of the SDK in products/services, capturing feedback to refine release ergonomics.</li><li>Evaluation &amp; QA, Developer Experience, and LLMOps &amp; AI Integration engineers to make quality and operability automatic.</li></ul>Why this Role MattersFor a Python SDK to scale safely, we need rock‑solid packaging, dependency hygiene, and CI/CD: reproducible builds, secure artifacts, versioning discipline, and automated tests/benchmarks that guard against regressions. Your work turns modular capabilities into enterprise‑grade libraries that downstream services can rely on—ensuring consistent behavior, faster time‑to‑first‑success, and audit‑ready releases.ROLE RESPONSIBILITIES1) Python Packaging, Build &amp; Distribution<ul><li>Own build and release for the SDK: wheel/sdist creation, and reproducible builds.</li><li>Enforce semantic versioning, backward compatibility checks, and changelogs; design safe migration paths (deprecation policies, compatibility shims).</li><li>Standardize artifact repositories: internal PyPI (Dev/Stage/Prod indices), package signing, and promotion workflows with automated quality gates.</li></ul>2) CI/CD for Libraries &amp; Supply Chain Security<ul><li>Design CI/CD pipelines (e.g., GitHub Actions/Azure DevOps/GitLab CI) to automate linting, type checking, unit/integration tests, coverage, and style enforcement (black/ruff/mypy/pytest).</li><li>Integrate dependency auditing and vulnerability scanning, license compliance, and SBOM generation; implement artifact signing and provenance (SLSA‑like controls).</li><li>Codify policy‑as‑code (e.g., OPA/Conftest) so releases only ship when tests, coverage, docs, and security gates pass.</li></ul>3) Benchmarking, Performance &amp; Integration Testing<ul><li>Collaborate with Evaluation &amp; QA Engineers to build benchmark harnesses for RAG components, connectors, rankers, and agent/tool modules; track latency/cost envelopes and regressions over time.</li><li>Orchestrate integration tests against common stacks (vector databases, storages, identity providers) to validate interface contracts used by platform services.</li><li>Maintain regression baselines and performance dashboards; fail builds on significant regressions.</li></ul>4) Operability for Consumers (SDK↔Service Parity)<ul><li>Embed observability hooks appropriate for libraries (structured logging, configurable metrics/traces) so services consuming the SDK can integrate telemetry consistently.</li><li>Define interface contracts and runtime configuration patterns (config schema, secrets management integration points) that downstream services must honor.</li><li>Partner with platform teams to publish service readiness guides built on SDK interfaces (env parity, retry/backoff, error models).</li></ul>5) Environments, Reproducibility &amp; Tooling<ul><li>Design isolated test environments and fixtures for data, vector stores, and external dependencies; leverage tox/pytest‑xdist for matrix runs.</li><li>Own Infrastructure-as-Code limited to test/development environments and CI runners; ensure deterministic builds and environment parity.</li><li>Optimize pipeline performance (caching wheels, parallelization) and track DORA‑style delivery metrics to continuously improve.</li></ul>6) Developer Experience &amp; Contribution Workflows<ul><li>Collaborate with Developer Experience Engineers to produce developer‑ready artifacts (quickstarts, sample apps, docs bundles generated during CI).</li><li>Standardize contribution workflows: feature branches, PR checks, mandatory tests/benchmarks/docs acceptance criteria; enable community extensions safely.</li><li>Provide CLI/tooling or cookiecutters that scaffold new SDK modules with tests, docs, and benchmark hooks prewired.</li></ul>7) Collaboration &amp; Continuous Improvement<ul><li>Align pipeline policies with AI Capability Architecture Lead and ensure SDK interface consistency for downstream service teams.</li><li>Close feedback loops with Embedded Architecture, Solution Design, AI Engineering, Creation Centers, and FITs to prioritize pipeline and release ergonomics improvements.</li><li>Lead post‑release retrospectives to reduce defects, MTTR, and onboarding friction for consuming teams.</li></ul>QUALIFICATIONSBasic Qualifications<ul><li>7+ years in DevOps/SRE/Build &amp; Release engineering, with significant experience in Python packaging and library delivery (wheels/sdists, internal PyPI).</li><li>Expert in CI/CD for libraries (GitHub Actions/Azure DevOps/GitLab CI) and artifact management (PyPI/private indices, container registries as needed for test harnesses).</li><li>Strong hands‑on with cloud‑native development and CI runners; proficiency with IaC for build/test environments.</li><li>Proven track record implementing quality gates: automated tests, secrets management, test coverage, dependency/security scanning, SBOMs/signing, policy‑as‑code.</li><li>Experience embedding observability hooks for libraries and defining interface contracts for service consumers.</li></ul>Preferred Qualifications<ul><li>Familiarity with GenAI/LLM ecosystems (RAG pipelines, vector stores, agent/tool frameworks, MCP adaptors) and their benchmarking/testing needs.</li><li>Background in performance engineering for Python (profiling, async/concurrency, I/O, data pipelines) and managing latency/cost regressions.</li><li>Experience with open-source contribution workflows, multi‑language SDK delivery (Python primary; TypeScript/Java nice-to-have), and semantic versioning discipline.</li><li>Exposure to regulated environments and audit‑ready release documentation.</li><li>Comfortable partnering across architecture, QA, DX, LLMOps, platform, and product teams in a matrixed organization.</li></ul>

Senior Manager, DevOps 4949161

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senior palantir data engineer remote

EPAM Global

senior palantir data engineer

EPAM Global

senior manager, devops 4949161

Pfizer Hellas

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