Top Data & Analytics Jobs

The role involves leading the development of data lakes, designing schemas, building ETL pipelines, and mentoring engineers while ensuring data quality and performance.

Design, develop, debug and tune Hadoop-based ETL using HDFS, Pig, Hive, HBase, Sqoop and Java. Provide technical oversight to the Hadoop team, write/modify shell or Python scripts, liaise with application teams, perform performance tuning and troubleshooting, and provide on-call weekend support.

Develop, debug, and optimize Hadoop-based data solutions using Pig, Hive, Sqoop, HBase and Java. Write and maintain shell/Python scripts, perform performance tuning, apply Big Data architecture/design patterns, guide the Hadoop team, coordinate with application teams for issue resolution, and provide on-call weekend support.

Design, build, and tune scalable data pipelines and streaming platforms using open-source tools (Kafka, NiFi, Hive, MapReduce) and NoSQL/SQL datastores. Automate ingestion, transformation, and augmentation of structured and unstructured data, collaborate with analysts, developers and data scientists, and ensure high availability and performance for analytics and transactional systems.

Develop and maintain Big Data applications using Java/Spring and Python on MapR HDFS with MapReduce, Pig, and Hive. Design NoSQL data models in HBase, participate in SDLC activities, configuration management, code reviews, and collaborate with offshore teams. Apply credit risk/fraud/payments domain knowledge and use tools like Jira, Maven, and SOAP UI.

Design, develop, and support Big Data solutions on Teradata Aster and Hadoop platforms. Build ETL pipelines, data mining, reporting, and predictive analytics; write efficient code for large/unstructured datasets; translate business use cases to production; mentor users; contribute to Big Data roadmap and standards.

Own and evolve the data platform: architect, build, and maintain data models, pipelines, and access layers. Ensure data quality, governance, and reliability; monitor and optimize infrastructure; provide technical leadership, code reviews, and collaborate with cross-functional teams to deliver scalable data solutions for operations and analytics.

Build quantitative analytics and electronic trading products by combining data analysis and full-stack web development. Develop dashboards and tools using ELK, JS frameworks, and SQL databases; write complex queries against Sybase/Sybase IQ/Rainstor and perform Excel-based analysis. Work in a small, entrepreneurial team to deliver production-ready analytics and web applications. C#/.NET and unstructured data exposure are nice-to-haves.

As a Senior Data Engineer, you will design and maintain data systems for Aircapture, focusing on building data pipelines and making architectural decisions to support climate technology.

In this role, the Senior Data Engineer designs and implements data architecture for analytics and ML initiatives, develops ETL/ELT pipelines, and ensures data quality and compliance, while mentoring junior team members.

The Sr. ETL Informatica Systems Engineer develops ETL applications for the EDW/BI program using Informatica tools, managing complex SQL and APIs.

Lead design, build, and maintain complex ETL/ELT data pipelines and integration solutions to support analytics and reporting. Ensure data quality, optimize processing for performance and scalability, monitor pipelines, document data lineage and procedures, and collaborate with stakeholders and analysts to resolve data issues and requirements.

Build and maintain scalable data pipelines and Python automations for ingesting, processing, and enriching data. Integrate SaaS sources via APIs, use Databricks/PySpark/Delta Lake and AI tools to power lead generation, enrichment, deduplication, and entity resolution. Collaborate cross-functionally to translate business needs into automated, production-ready solutions.

Design, build, and maintain scalable Databricks (PySpark/SQL/Delta Lake) pipelines to transform SAP S/4HANA and ECC data into curated, governed data products. Implement data quality, lineage, observability, and access controls (Unity Catalog, Immuta), collaborate with SAP experts and analytics teams, and mentor engineers to deliver production‑grade datasets for analytics and AI/ML.

This role involves leading data strategy and managing a team to build and maintain multimodal datasets, ensuring data quality and pipeline efficiency.

Design, develop and maintain management reports, dashboards and automated reporting processes. Build visualizations with Tableau/Qlik and Angular extensions. Create ETL pipelines and multidimensional reporting data marts using PySpark and SSIS. Design solution architecture (C4), collaborate across product, QA, UX, and C-level data/tech teams, engage stakeholders, and lead or coach team members to deliver timely, accurate data insights for decision making.

Own and build CrewAI's end-to-end data foundation: consolidate telemetry and application data, design pipelines and warehouses, define trusted metrics and semantic models, improve instrumentation and data quality, enable self-serve analytics, and support product and GTM decisions with reliable dashboards and analyses.

Lead design and implementation of scalable data architectures in Azure/Databricks/Fabric, enhance governance (Unity Catalog), improve data quality frameworks, build resilient ingestion/transformation pipelines, modernize CI/CD and source control, support production and analytics/AI use cases, and collaborate with stakeholders to move proofs-of-concept to enterprise solutions.

Operate and ensure reliability of ELT/data and integration pipelines (Airflow, Azure Integration Services). Monitor SLAs, respond to incidents, perform root cause analysis, manage Snowflake RBAC, support deployments (dbt, GitHub Actions), optimize performance, and collaborate across engineering, security, and analytics teams to maintain secure, on-time data delivery.

Lead technical design and hands-on development of Pantheon’s data platform, extending ingestion, curation, retention services and ML/LLM infrastructure. Mentor engineers, drive architecture and engineering standards, operate in a DevOps model, partner cross-functionally, and participate in on-call support to ensure reliable, compliant data access and analytics.

Design, build, and optimize end-to-end data pipelines and ETL/ELT processes, enforce data governance and lineage, create enterprise datasets and data models, mentor team members, and implement CI/CD for data deployments to support analytics and advanced analytics use cases.

Design, develop, configure, and support Customer MDM and Informatica Product 360 solutions, including data models, workflows, integrations, data quality, governance, and production support across enterprise systems. Collaborate with stakeholders throughout the SDLC to implement MDM/PIM processes, troubleshoot incidents, and maintain documentation and release activities.

Design and build data models, automated pipelines, and dashboards to support Lunar program planning and technical performance. Partner with stakeholders to gather requirements, create visualizations and metrics for leadership, lead cross-functional data modeling efforts, and establish data quality and documentation standards to scale analytics across programs.

Design and build SOCOTEC's enterprise data platform: scalable Databricks/Spark/Delta Lake pipelines, data models, and MDM. Ingest from ERP/CRM, enable batch and near-real-time processing, ensure data governance, quality, lineage, and provide datasets for analytics and AI while driving architecture and observability.

Design, build, and maintain production-grade data pipelines, Python services, and Databricks workloads for a large-scale financial data platform. Improve performance, reliability, observability, and data models; troubleshoot issues; participate in architecture, code review, and cross-team collaboration to deliver enterprise reporting and integrations.