Key Talent Solutions
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We are looking for a
Senior Data
Engineer
About the role
✅ We are interested in connecting with Senior Data Engineers who combine strong technical depth with an agile, product-oriented mindset. This track focuses on leading teams to design and deliver scalable, compliant data platforms supporting real-time fintech products.
Design, build, and maintain modern data pipelines (ETL/ELT) for analytics, risk, and product systems.
Architect and optimize cloud data infrastructures (AWS, GCP, or Azure) to support large-scale, high-volume financial data flows.
Develop data models and transformations (dbt, SQL, Python) that enable reliable reporting and self-service analytics.
Lead or mentor other engineers in agile teams, promoting coding standards, automation, and continuous improvement.
Collaborate closely with product, finance, and data‑science teams to translate business requirements into technical solutions.
Ensure data quality, governance, and security across all stages of the data lifecycle.
4–8 years of experience in Data Engineering or Analytics Engineering roles.
Strong hands‑on skills in Python, SQL, and distributed data processing (Spark, Beam, or Flink).
Experience with cloud data tools such as AWS Glue, BigQuery, Redshift, or Snowflake.
Familiarity with orchestration frameworks (Airflow, dbt, Prefect) and CI/CD pipelines.
Solid understanding of data architecture principles, APIs, and streaming systems (Kafka, Kinesis).
Background in fintech, SaaS, or other data‑intensive domains preferred.
Proven ability to lead initiatives, mentor peers, and foster collaboration in agile environments.
Interested candidates please reach out. We welcome professionals who thrive in autonomous environments and are committed to delivering impactful fintech solutions.
Seniority level:
Mid-Senior level
Employment type:
Full-time
Job function:
Information Technology
Industries:
Information Services and Technology, Information and Media
Data Engineer-NY, SLC, TX, UT, Dallas, New York City , USA We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
We are looking for a
Senior Data
Engineer
About the role
✅ We are interested in connecting with Senior Data Engineers who combine strong technical depth with an agile, product-oriented mindset. This track focuses on leading teams to design and deliver scalable, compliant data platforms supporting real-time fintech products.
Design, build, and maintain modern data pipelines (ETL/ELT) for analytics, risk, and product systems.
Architect and optimize cloud data infrastructures (AWS, GCP, or Azure) to support large-scale, high-volume financial data flows.
Develop data models and transformations (dbt, SQL, Python) that enable reliable reporting and self-service analytics.
Lead or mentor other engineers in agile teams, promoting coding standards, automation, and continuous improvement.
Collaborate closely with product, finance, and data‑science teams to translate business requirements into technical solutions.
Ensure data quality, governance, and security across all stages of the data lifecycle.
4–8 years of experience in Data Engineering or Analytics Engineering roles.
Strong hands‑on skills in Python, SQL, and distributed data processing (Spark, Beam, or Flink).
Experience with cloud data tools such as AWS Glue, BigQuery, Redshift, or Snowflake.
Familiarity with orchestration frameworks (Airflow, dbt, Prefect) and CI/CD pipelines.
Solid understanding of data architecture principles, APIs, and streaming systems (Kafka, Kinesis).
Background in fintech, SaaS, or other data‑intensive domains preferred.
Proven ability to lead initiatives, mentor peers, and foster collaboration in agile environments.
Interested candidates please reach out. We welcome professionals who thrive in autonomous environments and are committed to delivering impactful fintech solutions.
Seniority level:
Mid-Senior level
Employment type:
Full-time
Job function:
Information Technology
Industries:
Information Services and Technology, Information and Media
Data Engineer-NY, SLC, TX, UT, Dallas, New York City , USA We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr