Senior Data Engineer – Private Markets, Hybrid NYC

Kinect LLC; New York (NY); Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

Discretionary bonus

Paid time off

Medical insurance

Dental insurance

Vision insurance

Retirement benefits

Life insurance

Job summary

Kinect LLC is seeking a Senior Data Engineer in New York City with hybrid work options to design and scale data infrastructure for private markets. You will build scalable ETL/ELT pipelines, model data for analytics, and ensure data quality and governance across multiple administrators and jurisdictions.

The role requires 7+ years of data engineering in financial services, advanced SQL and Python, and hands-on experience with Snowflake, Airflow, dbt, and cloud platforms.

Qualifications

• 7+ years of professional data engineering experience building and supporting production data pipelines.
• Financial markets data experience; private markets experience is strongly preferred.
• Advanced SQL skills and experience designing dimensional data models.
• Strong Python development skills and experience with Spark, Pandas, or Polars.
• Experience with ETL/ELT orchestration tools such as Apache Airflow.
• Hands-on experience with Snowflake and AWS and/or Azure.
• Familiarity with dbt and version-controlled data transformation workflows.
• Experience with Git, CI/CD, testing, and containerization.
• Demonstrated experience using AI-assisted development tools and workflows.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Experience with Kafka, data contracts, schema evolution, OpenShift, and private markets data normalization is preferred.

Responsibilities

• Design and optimize data models supporting analytics, reporting, and operational workloads.
• Build and maintain scalable ETL/ELT pipelines that ingest and normalize structured and unstructured data from multiple sources.
• Translate private markets workflows such as capital calls, distributions, and co-investment activity into well-governed, reusable datasets.
• Implement data quality controls, monitoring, alerting, and validation processes.
• Partner with business users and development teams to define requirements and deliver accessible, reliable data solutions.
• Improve query performance, pipeline throughput, and data platform efficiency.
• Support data governance initiatives including documentation, lineage, cataloging, access controls, and golden-record ownership.
• Leverage AI-assisted tools to improve development efficiency and data-processing workflows.

Skills

Advanced SQL

Python development

AI-assisted development tools

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

AWS

Azure

Apache Airflow

dbt

Spark

Pandas/Polars

Git

CI/CD

Containerization

Kafka

OpenShift

Job description

Kinect LLC is seeking a Senior Data Engineer in New York City with hybrid work options to design and scale data infrastructure for private markets. You will build scalable ETL/ELT pipelines, model data for analytics, and ensure data quality and governance across multiple administrators and jurisdictions.

The role requires 7+ years of data engineering in financial services, advanced SQL and Python, and hands-on experience with Snowflake, Airflow, dbt, and cloud platforms.