Senior Data Engineer — Remote Cloud Data Platform Lead

godirect; Atlanta (GA); Remote; USD 131,000 - 177,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Retirement plan

Tuition reimbursement

Paid time off

Volunteer time

Job summary

Voya Financial is seeking a senior data engineer to provide technical leadership for data ingestion and processing engagements across product, sales, leadership, and marketing teams. The role focuses on architecting and implementing cloud-based data solutions and delivering robust ETL pipelines.

You will work with a wide range of stakeholders, design and build critical components for large data projects, and coordinate with onshore and offshore ETL engineers.

Qualifications

• 5+ years of experience in software development or related data engineering roles.
• Experience using big data tools and cloud platforms (AWS, Azure, Databricks, Snowflake).
• Strong SQL, scripting, and job scheduling capabilities.

Responsibilities

• Lead data ingestion and processing engagements across business units.
• Architect and implement cloud-based data solutions and ETL pipelines.
• Collaborate with product, sales, leadership, and marketing teams.
• Coordinate with onshore/offshore ETL engineers and design tests/docs.

Skills

Big data analytics

Cloud architectures

Stakeholder collaboration

Problem solving

Leadership

Education

Bachelor’s degree in CS/CE/IT or related field

Tools

Spark

HDFS

Sqoop

Hive

Impala

Oozie

Flume

Kafka

StreamSets

Denodo

R Programming

Python (NumPy/Pandas)

AWS

Azure

Databricks

Snowflake

Teradata

Oracle

DB2

SQL Server

Unix Shell Scripting

PL/SQL

Control-M

CIS Task Scheduler

IBM Tivoli Workstation

Job description

Voya Financial is seeking a senior data engineer to provide technical leadership for data ingestion and processing engagements across product, sales, leadership, and marketing teams. The role focuses on architecting and implementing cloud-based data solutions and delivering robust ETL pipelines.

You will work with a wide range of stakeholders, design and build critical components for large data projects, and coordinate with onshore and offshore ETL engineers.