Senior Data Engineer

Location: New York

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****** Position Summary**‐scale data solutions to support analytics, reporting, and investment decision‐makingexpertise in modern data engineering, distributed data processing, and cloud‐native development. The engineer will work extensively with Databricks, PySpark, SQL, Snowflake, and Python, while leveraging Azure services and GenAI tools such as Cortex AI and Git Hub Copilot to accelerate development and automation.

This position is ideal for a highly experienced engineer with strong technical expertise, who can drive best practices and deliver scalable, high‐quality data products.
* Design, develop, and optimize large‐scale data pipelines and ETL workflows within the Databricks platform.
* Develop and maintain complex data models and transformation logic using PySpark, Python, and SQL.
* Build reusable, modular data engineering components and enforce best practices for performance, reliability, and cost efficiency.
* Apply GenAI tools (Git Hub Copilot, Snowflake Cortex AI) to improve development velocity and code quality.
* Ensure strong data governance, lineage, observability, and security across all pipelines and platforms.
* Collaborate with cross‐
* Provide technical expertise and mentor junior engineers in data engineering best practices.
* Participate in Agile ceremonies and drive continuous improvement across the engineering lifecycle.
* 5-7 years of hands‐
* Proven experience with Databricks, including PySpark development, notebooks, Delta Lake & Lakehouse architecture, jobs/workflows/cluster management.

The Senior Data Engineer will design, build, and optimize large within Investment Management. This role requires deep
** Key Responsibilities
** functional teams to translate business requirements into scalable technical solutions.
** Requirements & Qualifications
** on experience in data engineering with strong coding skills.

Strong proficiency in Python and SQL for building scalable, distributed data pipelines and Snowflake as a data warehouse.

Familiarity with GenAI tools (e.g., Git Hub Copilot, Cortex AI) to accelerate development. Experience designing and integrating API skills and ability to
** Nice to Have
*** Experience with LLMs, NLP, or GenAI‐driven data workflows.
* Experience with DBT.
* Experience with data quality and observability frameworks such as SODA, Great Expectations, or DBT tests.

Strong communication and stakeholder management skills.
** Education & Certifications
** Experience in Investment Management or Financial Services preferred. Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

- **** Learning Agility**:
** Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.
* Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment,  please reference*###
** Voya Financial**, Inc., is a leading retirement, employee benefits and investment management company. Voya’s services and solutions help clear the path to financial confidence and a more fulfilling life for individual, workplace and institutional clients, supporting more than 18 million customer relationships. Certified as a “Great Place to Work” by the Great Place to Work(R) Institute, Voya fosters a culture that values customer centricity, integrity, accountability, agility and inclusivity.

Together with customers and partners, Voya employees fight for everyone's opportunity for a better financial future. For more information visit
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