Role overview

Qualifications

Proven experience in data engineering testing / data QA / ETL validation
Strong hands-on experience with AWS data services (Redshift, Glue, DMS)
Proficiency in Python for test automation and validation
Experience with Airflow and orchestration testing

Responsibilities

Define the end-to-end testing scope based on solution architecture and project documentation
Design and implement a comprehensive testing strategy and plan aligned with organizational QA standards
Develop and maintain test scripts and frameworks for the Redshift serverless platform
Perform testing across key technologies, including AWS Redshift, AWS DMS, AWS Glue, PySpark Deequ

Key facts

Remote from: Anywhere
Full time
Senior (5-10 years)
Data Engineer
English

Hard skills

Amazon Web Services

About the company

Accylerate, LLC.

Accylerate, LLC. is a certified Small, Women and Minority-Owned IT & Engineering Services Provider with 50+ years of collective management experience specializing in (but not limited to) Cybersecurity, Big Data / Analytics, AI/ML, Low-Code-No-Code & Aerospace Engineering Accylerate was formed by a group of highly experienced Technocrats, with demonstrated experience and expertise in the GovCon marketplace. Our strong business values and tested best practices, coupled with a creative technological edge; ensure that Accylerate is able to deliver expert consulting services in our clients’ mission critical needs. We have strong past performance in partnering with Government Systems Integrators, across civilian, defense, federal health, and state & local agencies. Our advanced technologies, innovative solutions, and dynamic workforce allow us to collaborate closely with our Government Systems Integrator customers, to effectively execute their mission-critical initiatives. Our culture is based upon the concept, that our employees are the foundation of our business. We support our Customers’ needs of providing mission focused individuals by engaging our employees in meaningful positions, training, social events, and both civic and philanthropic event participation. We reach the best mission outcome for our Customers by prioritizing our well-balanced & motivated workforce and their values. Every person at Accylerate is a valued member of our team and at the heart of our culture is the belief that when you are happy, empowered, and encouraged to grow; everyone benefits.

Company details

Company size11 - 50

Links

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Job description

Ideal Candidate Profile: We are seeking a highly skilled Senior Data Engineer (AWS Data Platform) to define and implement end-to-end testing strategies for a modern data platform built on AWS. This role will be responsible for ensuring data quality, reliability, and performance across the entire pipeline; from ingestion to transformation and reporting.

Job Duties & Responsibilities
Define the end-to-end testing scope based on solution architecture and project documentation
Design and implement a comprehensive testing strategy and plan aligned with organizational QA standards
Develop and maintain test scripts and frameworks for the Redshift serverless platform
Perform testing across key technologies, including:
AWS Redshift
AWS DMS (Data Migration Service)
AWS Glue
PySpark Deequ
Event Bridge
Data Lakes
Python-based data pipelines
Apache Airflow
dbt (data build tool)
Build and implement automated testing solutions to ensure:
End-to-end data validation
Data ingestion accuracy
Transformation logic integrity
Data pipeline reliability
Conduct test coverage analysis and ensure adequate validation across all data engineering workflows
Prepare and manage test data
Review and provide feedback on:
Solution architecture
Data models
Design and technical documentation
Collaborate with cross-functional teams (Data Engineering, BI, DevOps, Product) to:
Identify testing impacts
Mitigate risks
Ensure high-quality deliverables

Required Skills & Experience
Proven experience in data engineering testing / data QA / ETL validation
Strong hands-on experience with AWS data services (Redshift, Glue, DMS)
Proficiency in Python for test automation and validation
Experience with Airflow and orchestration testing
Hands-on experience with dbt and data transformation validation
Familiarity with CDK for infrastructure validation
Experience in BI testing in Quicksuite will be highly beneficial
Experience with data quality tools such as PySpark Deequ or similar
Strong understanding of:
Data warehousing concepts
ETL/ELT pipelines
Data validation techniques (schema, reconciliation, anomaly detection)

Preferred Qualifications
Experience designing enterprise-level test strategies for data platforms
Knowledge of CI/CD pipelines for data and test automation
Experience working in Agile / Scrum environments
Familiarity with data observability frameworks