Senior Data Engineer

Coforge (Encora) is hiring a Senior Data Engineer based in Peru (hybrid). The role requires 3+ years of data engineering experience and strong skills in Azure, Databricks, Azure Data Factory, Spark/PySpark, Delta Lake, SQL and Python, plus experience with CI/CD using GitHub/GitHub Actions and Medallion architecture. Familiarity with Azure Key Vault, ADLS Gen2 and AI/Databricks Apps/Azure OpenAI is desirable.

Hiring a Senior Data Engineer based in San José, Costa Rica (hybrid, 2–3 days on-site). Responsibilities include designing, building, and maintaining ETL/ELT data pipelines, modeling and maintaining warehouse tables and data marts, creating analytics dashboards and reports, and implementing data validation and quality processes. Requires a bachelor’s degree and 3–5 years of relevant data engineering experience; proficiency in SQL, data modeling, and experience with data warehousing solutions are specified.

Parexel is hiring a Senior Data Engineer to design, develop, and support ETL programs and data integration solutions in Databricks and Azure (Azure SQL, Azure Data Factory). The role includes architecting software and product extensions, mentoring engineers, producing technical and architectural documentation, and supporting deployments using Azure DevOps Git in a clinical trials context.

The PSO Specialist (Trace Focus) performs log-level investigations, data validation, and reconciliation across media platforms, DSPs, and internal systems using Databricks and SQL. The role creates detailed defect packages, executes engineering runbooks to trigger reprocessing or recovery, triages escalations, and collaborates with Engineering, Product, and Customer Success to reduce time-to-resolution. Good-to-have experience includes data warehouse design, ETL, pipeline monitoring, and production incident troubleshooting.

Precision Medicine Operations Lead / SKDL Programming Lead (remote, Spain or Poland) supporting sponsor-dedicated studies: manage biosample planning and execution, vendor assessment, kit logistics and tracking, LIMS and lab operations, develop data transfer specifications, support data management/database lock, and provide programming tools/dashboards (Python/R/SQL) for sample and lab data. Requires minimum 6 years clinical research experience and fluent English.

Lead competitive benchmarking initiatives across search, vector/hybrid retrieval, analytics, and observability workloads. Build automated benchmark harnesses, datasets, queries, and load profiles; run controlled experiments and profiling; evaluate latency, throughput, resource usage, and cost; and publish reproducible artifacts and technical reports to guide product improvements.

Lead competitive benchmarking initiatives for search, vector and hybrid retrieval, and observability workloads. Build automated benchmark harnesses, datasets, and reproducible experiments; measure latency, throughput, resource consumption, and cost; investigate differences and work with engineering to drive product improvements. Requires software engineering experience (Python or similar), performance analysis of distributed systems, and technical writing.

Build and maintain automated testing frameworks, performance tests, and internal tooling for MongoDB's query engine. Requires 5+ years of software development or performance engineering experience, fluency in Python, JavaScript or TypeScript, and experience or interest in distributed systems, databases/NoSQL, and test automation. Role is based in Dublin or Cork or remotely in Ireland.

Join Coinbase's Blockchain Data Platform to design, build, and operate ultra-low-latency distributed systems for real-time blockchain data ingestion, indexing, and query. Responsibilities include end-to-end service ownership, chain integrations, migrations/backfills, performance and architecture improvements, and partnering on SDKs and data contracts. Requires 2+ years building and operating distributed or data systems and proficiency in backend languages such as Go or Python.

The Data Quality Analyst II develops and implements data quality policies, automated reports, scripts, and dashboards; analyzes structured and unstructured data; performs statistical tests; and provides QA and technical leadership within an Agile (SAFe) environment. Requires a bachelor’s degree in a related field, 5+ years in data analytics, proficiency with Excel, SQL/R/Python, visualization tools (Power BI, Tableau), and ability to obtain a Public Trust clearance.