Data Engineer

Anchor Conzult

United States

On-site

USD 120,000 - 150,000

Full time

14 days+
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Job summary

A key banking client in New York City is seeking a Data Engineer to join its team. The role involves designing, building, and scaling production-grade data infrastructure with a strong focus on automation, data quality, performance, and scalability. Candidates should have over 5 years of experience in data engineering, expertise in Python and SQL, and familiarity with ETL/ELT pipelines and cloud-based technologies. This is a full-time position offering competitive salary and benefits.

Qualifications

  • 5+ years of hands-on experience in Data Engineering.
  • Strong expertise in Python and SQL.
  • Experience in building ETL/ELT pipelines.
  • Familiarity with distributed computing platforms like Spark or Dask.
  • Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
  • Knowledge of cloud-based data warehouse technologies like Databricks, Snowflake, or Redshift.

Responsibilities

  • Design, build, and scale production-grade data infrastructure.
  • Focus on automation, data quality, performance, and scalability.
  • Collaborate with stakeholders to translate requirements into data solutions.

Skills

Python
SQL
Data Engineering
ETL/ELT pipelines
Distributed computing
Workflow orchestration tools
Cloud-based data warehouse

Tools

Spark
Dask
Airflow
Dagster
Prefect
Databricks
Snowflake
Redshift

Job description

Data Engineer – Banking Client, New York City

A key banking client based in New York City, USA, is looking for a Data Engineer to join its team.

Responsibilities

In this role, you’ll design, build, and scale production‑grade data infrastructure. The focus is on automation, data quality, performance, and scalability.

Required Experience & Skills
  • 5+ years of hands‑on experience in Data Engineering.
  • Strong Python and SQL.
  • Experience building ETL/ELT pipelines.
  • Familiarity with distributed/cluster computing (e.g., Spark, Dask).
  • Workflow orchestration tools such as Airflow, Dagster, or Prefect.
  • Cloud‑based data warehouse technologies (e.g., Databricks, Snowflake, Redshift).
Employment Details

Full‑time position offering a competitive salary and benefits.

Additional Information

Please note, the client is unable to provide visa sponsorship.
Interest: please reach out for more information.

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