Data Scientist

Key Responsibilities

• Building production data pipelines and ETL/ELT workflows at scale.
• Using Apache Spark and PySpark for distributed data processing.
• Advanced Python programming skills including data manipulation libraries (Pandas, NumPy) and data engineering best practices.
• Understanding data security, privacy, governance, and compliance principles.
• Workflow orchestration tools such as Step Functions and Airflow.
• Containerization such as Docker or Podman, and deploying data applications in cloud environments.
• AWS services (in particular S3, Lambda, and Step Functions).
• PostgreSQL and MySQL in production environments, including performance tuning and schema design.
• SQL and query optimization for complex analytical workloads.
• Version control (Git) and CI/CD practices for data pipelines.
• Working with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight.
• Strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks.

Highly Desired Qualifications

• Data lakehouse architectures using Apache Iceberg.
• Configuring, deploying, and integrating data platform components: Apache Ranger (access control and data governance), Trino (distributed SQL query engine), Data catalogs (Unity Catalog OSS, Apache Polaris, etc.), and Apache Superset (data visualization and dashboarding).
• Bash scripting for automation and data processing tasks.
• Infrastructure as Code (Terraform or CloudFormation) for data infrastructure.
• Tracking data lineage and associated tooling such as OpenLineage.
• Using Java.
• Data quality frameworks, testing methodologies, and validation strategies.
• Background with large-scale data migrations or platform modernization efforts.
• Integrating AI/ML services and models (translation, OCR, speech-to-text, NLP, language detection, topic modeling), LLMs, and RAG (retrieval-augmented generation) pipelines.
• Geospatial data processing (H3, PostGIS, or similar).
• Contributing to data engineering documentation, best practices, or design patterns.
• NoSQL databases (DynamoDB, etc.).
• Excellent written and verbal communication skills with both technical and non-technical audiences.
• Linux Operating Systems
• Agile/Scrum development methodologies in a fast-paced, collaborative team environment.
• Working effectively in high-performing, cross-functional teams with multiple concurrent projects.
• Working directly with stakeholders to gather requirements, understand needs, and translate them into technical solutions with minimal oversight.
• Self-directed work with a strong ownership mentality and commitment to code quality, testing, and documentation.
• Context-switching between projects and systems as priorities demand.

What We Offer You

• Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
• Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
• Dedicated Training Budget: Supporting continuous learning and professional development.
• 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
• 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
• 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
• 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
• Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.