Senior Data Engineer: Scalable Pipelines & Analytics Leader

Netsmart; Overland Park (KS); On-site; USD 120,000 - 180,000; Full time

Job summary

Netsmart is seeking a Senior Data Engineer to design, optimize, and lead complex data pipelines and integration strategies that support advanced analytics and scalable data platforms.

You will collaborate with cross-functional teams to deliver enterprise‑grade data solutions, drive automation, and guide architecture decisions while ensuring robust data governance and security. This role emphasizes SQL prowess, Spark-based ETL, and cloud-scale data warehousing.

Qualifications

• Bachelor's degree in Computer Science, Information Management, or related field.
• At least 5 years of experience in data engineering or related roles.
• Advanced proficiency in Python, Java, Scala, and expert-level SQL.
• Extensive experience with Hadoop, Spark, Kafka and cloud environments (AWS/Azure/GCP).
• Experience designing large-scale data warehousing solutions and ETL tooling.
• Strong data modeling and ability to solve complex analytical problems.
• SQL skills strongly emphasized, PostgreSQL preferred.
• Experience with Spark ETL, AWS Glue, AWS Lambda and Airflow preferred.

Responsibilities

• Design, implement, and optimize complex data pipelines using SQL and ETL tools.
• Collaborate across teams to enable advanced analytics and data science initiatives.
• Lead process improvements for automation, data delivery, and scalable infrastructure.
• Evaluate emerging data technologies to build comprehensive integration strategies.
• Lead discovery processes, defining requirements and mapping detailed scenarios.
• Develop and maintain data governance policies and procedures.

Skills

Python

Java

Scala

SQL

Big data

Spark

Kafka

Cloud platforms

Data warehousing

ETL

Education

Bachelor's degree in Computer Science or related field

Tools

Hadoop ecosystem

Airflow

AWS

Azure

GCP

AWS Glue

Job description

Netsmart is seeking a Senior Data Engineer to design, optimize, and lead complex data pipelines and integration strategies that support advanced analytics and scalable data platforms.

You will collaborate with cross-functional teams to deliver enterprise‑grade data solutions, drive automation, and guide architecture decisions while ensuring robust data governance and security. This role emphasizes SQL prowess, Spark-based ETL, and cloud-scale data warehousing.