Senior Data Engineer - Technology

Roper Technologies • $100K — $130K *
Duluth, GA 30096In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Minimum of 5+ years in data engineering roles.
  • Deep experience with AWS Glue (PySpark/Python), S3, and Redshift.
  • Proven track record in migrating ETL workloads from legacy tools to cloud-native pipelines.
  • Strong SQL skills in Redshift or other columnar/MPP databases.

Responsibilities

  • Design and build modern ETL/ELT pipelines using AWS Glue and S3.
  • Architect data transformation workflows that are testable and observable.
  • Optimize and maintain Redshift data warehouse for query performance and cost efficiency.
  • Drive evolution from batch ETL to near real-time stream processing technologies.
  • Design pipelines supporting both near real-time and batch workloads.
  • Partner with product and analytics teams to align data models with business needs.
  • Establish best practices for pipeline development and participate in production support.

Benefits

  • Opportunity to influence data architecture during a significant transition.
  • Cross-functional team collaboration in a dynamic environment.
  • Exposure to cutting-edge stream processing technologies.
  • Flexible location with travel opportunities (up to 20%).
  • Professional growth in evolving data engineering practices.
Full Job Description
Position Summary

We are seeking a Senior Data Engineer to own and modernize our data pipeline architecture. The immediate mission: migrate ETL workloads out of Redshift stored procedures and legacy SSIS packages into scalable, maintainable pipelines using AWS Glue and S3. The longer-term vision: help us evolve from batch-oriented processing toward near real-time analytics using stream processing technologies like Apache Flink and ClickHouse, among others. You will be embedded in a cross-functional engineering team and have real influence over the architecture as we make this transition.

Objectives

  • Design and build modern ETL/ELT pipelines using AWS Glue, S3, and related services to replace legacy stored procedures and SSIS jobs.
  • Architect data transformation workflows that are testable, version-controlled, and observable.
  • Optimize and maintain our Redshift data warehouse, including materialized views, query performance, and cost efficiency.
  • Drive the evolution from batch ETL to near real-time stream processing, evaluating and implementing technologies such as Apache Flink, ClickHouse, Kafka, Kinesis, or equivalent platforms.
  • Design pipelines that support both near real-time and batch workloads as the platform transitions.
  • Partner with product and analytics teams to ensure data models support reporting, AI/ML, and customer-facing features.
  • Establish patterns and best practices for pipeline development that the broader team can adopt.
  • Participate in production support and incident response for data infrastructure.


Requirements

Education/Experience:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field. Minimum of 5+ years in data engineering roles.


Skills:

  • Deep experience with AWS Glue (PySpark/Python), S3, and Redshift.
  • Proven track record migrating ETL workloads from legacy tools (SSIS, stored procedures, or similar) to modern cloud-native pipelines.
  • Strong SQL skills with best practices and SQL linting, particularly in Redshift or other columnar/MPP databases.
  • Experience with or strong interest in stream processing frameworks (Flink, Spark Streaming, Kafka Streams, or similar).
  • Familiarity with data pipeline orchestration, monitoring, and error handling patterns.
  • Experience with infrastructure-as-code and CI/CD for data pipelines.


Desired Skills:

  • Experience with Aurora MySQL or other relational databases, and NoSQL such as DynamoDB.
  • Hands-on experience with near real-time OLAP engines (ClickHouse, Apache Druid, or similar).
  • Exposure to streaming data infrastructure (Kinesis, Kafka, MQTT).
  • Familiarity with IoT or utility/metering data.
  • Experience with dbt, Airflow, or Step Functions.
  • Strong communication skills, with the ability to explain complex data architecture concepts to technical and non-technical stakeholders.
  • A deep understanding of software development methodologies (Agile, Scrum, etc.).
  • Strong problem-solving abilities and a drive for results.


Location:

  • Tallassee, Alabama or Duluth, Georgia; May be required to travel to one of our manufacturing/customer locations up to 20% of the time when necessary.


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About Roper Technologies

Roper Technologies is a diversified technology company that designs, develops, and manufactures engineered products and solutions for global niche markets. The company operates through four segments: Application Software; Network Software & Systems; Measurement & Analytical Solutions; and Process Technologies. Roper Technologies serves customers in healthcare, transportation, food, energy, water, education, and other markets. The company was founded in 1981 and is headquartered in Sarasota, Florida.
Learn more about Roper Technologies
Size
19,300 employees
Market Cap
$45.7 billion
Industry
Consumer Technology
Net Income
$949.6 million
5 Year Trend
+8.8%
Revenue
$5.5 billion
NASDAQ
ROP
* Ladders Estimates

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