Senior Data Engineer
Gemini - New York, NY
Hiring: Senior Data Engineer Company: Gemini Location: New York, NY Job Posted Time: 2026-09-16 13:15:32 Employment Type: Contract / Remote Target Skills & Keywords : AWS, Airflow, BigQuery, Blockchain, CI/CD, Data Warehouse, Databricks, ELT, ETL, Flink, Infrastructure as Code, Kafka, Kinesis, Machine Learning, Python, Root Cause Analysis, SQL, Snowflake, Spark, Web3 About the job Experience: •5+ years of experience in data engineering (or similar) roles Required Skills: •Design, build, and maintain data infrastructure and pipelines spanning both batch and real-time / streaming workloads, contributing to architectural decisions along the way •Build and maintain scalable, efficient, and reliable ETL/ELT pipelines using languages and frameworks such as Python, SQL, Spark, Flink, Beam, or equivalents •Work on real-time or near-real-time data solutions (e.g. CDC, streaming, micro-batch) for use cases that require timely data •Partner with data scientists, ML engineers, analysts, and product teams to understand data requirements, define SLAs, and deliver coherent data products that others can self-serve •Establish data quality, validation, observability, and monitoring frameworks (data auditing, alerting, anomaly detection, data lineage) •Investigate and resolve complex production issues: root cause analysis, performance bottlenecks, data integrity, fault tolerance •Document data flows, data dictionaries, architecture patterns, and operational runbooks Qualifications: •Strong experience in ETL/ELT pipeline design, implementation, and optimization •Deep expertise in Python and SQL writing production-quality, maintainable, testable code •Solid grounding in software engineering fundamentals, data structures, and systems thinking •Applied hands-on capability in data modeling (dimensional modeling, normalization, schema design) •Operational familiarity with data governance, lineage, metadata, cataloging, and data quality practices •Hands-on experience managing and optimizing Databricks on AWS •It Pays to Work Here Compensation: •$126,000 - $180,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!