Mindlance
Senior Data Engineer
Mindlance, Reston, Virginia, United States, 22090
Title: Senior Data Engineer (Data Analytics and AI Focused)
Location: Reston, VA – 100% Remote
Duration: Long Term Assignment
Must Have:
AWS - CloudFormation AWS - Dynamo AWS - Lambda AWS - S3 AWS - SNS/SQS AWS Step Function BI Tool Gen AI Python RedShift/SQL
Position Overview: Senior Data Engineer with SME in data analytics and AI work within our tech stack; 5+ years of experience. The Data Engineer must be a skilled engineer with an unwavering passion for excellence in Software Engineering and a drive to transform that passion into consistent excellence in product development. The candidate must be customer-obsessed, have strong analytical and communication skills, enjoy working with native AWS services, and thrive on solving challenging business problems. The candidate will partner with Product Owners/Architects, Developers, and other Software Engineers to help design, define, implement functional features, system level validation, and verify features of product development. Qualified candidates will show an aptitude for learning and implementation of advanced software engineering practices in Data Analytics, AWS, and Microservices environments to solve complex problems with a mission to release high-quality software that is resilient and optimally performing. Candidates will be engaged in both data and analytics reports development and quality engineering, testing, and automation as a data engineer.
Responsibilities:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. Build, test, deploy, and maintain production code for complex transactional applications using event-driven microservices, Node.js, and Python languages. Incorporate Cloud technologies on new application development to include micro-services, SQL, and AWS services such as Lambda, S3, SQS, SNS, DynamoDB, Quicksight, AWS Redshift, and Opensearch. Perform unit tests and conduct reviews with other team members to ensure your code is rigorously designed, elegantly coded, and effectively tuned for performance.
Required Skills:
Expert in writing and optimizing complex SQL queries for data extraction, transformation, and reporting (e.g., SELECT, JOIN, GROUP BY, HAVING, WINDOW functions). Expert in integrating Redshift Serverless with AWS services such as S3, Glue, Lambda, Athena, and Kinesis BI tools like Tableau, Quicksight, or Looker for real-time analytics and dashboards. Expert in building serverless ETL pipelines with Lambda to automate data ingestion and transformation into Redshift. Experience in integrating Redshift Serverless with various AWS services. Experience with Node.js and Python. Working knowledge of AI technologies. Experience in working with AWS services and deploying applications to AWS. Exposure to DevOps tools and automation. Effective communication skills are a must along with a strong customer service orientation and the ability to clearly discern client needs.
EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.” #J-18808-Ljbffr
Must Have:
AWS - CloudFormation AWS - Dynamo AWS - Lambda AWS - S3 AWS - SNS/SQS AWS Step Function BI Tool Gen AI Python RedShift/SQL
Position Overview: Senior Data Engineer with SME in data analytics and AI work within our tech stack; 5+ years of experience. The Data Engineer must be a skilled engineer with an unwavering passion for excellence in Software Engineering and a drive to transform that passion into consistent excellence in product development. The candidate must be customer-obsessed, have strong analytical and communication skills, enjoy working with native AWS services, and thrive on solving challenging business problems. The candidate will partner with Product Owners/Architects, Developers, and other Software Engineers to help design, define, implement functional features, system level validation, and verify features of product development. Qualified candidates will show an aptitude for learning and implementation of advanced software engineering practices in Data Analytics, AWS, and Microservices environments to solve complex problems with a mission to release high-quality software that is resilient and optimally performing. Candidates will be engaged in both data and analytics reports development and quality engineering, testing, and automation as a data engineer.
Responsibilities:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies. Build, test, deploy, and maintain production code for complex transactional applications using event-driven microservices, Node.js, and Python languages. Incorporate Cloud technologies on new application development to include micro-services, SQL, and AWS services such as Lambda, S3, SQS, SNS, DynamoDB, Quicksight, AWS Redshift, and Opensearch. Perform unit tests and conduct reviews with other team members to ensure your code is rigorously designed, elegantly coded, and effectively tuned for performance.
Required Skills:
Expert in writing and optimizing complex SQL queries for data extraction, transformation, and reporting (e.g., SELECT, JOIN, GROUP BY, HAVING, WINDOW functions). Expert in integrating Redshift Serverless with AWS services such as S3, Glue, Lambda, Athena, and Kinesis BI tools like Tableau, Quicksight, or Looker for real-time analytics and dashboards. Expert in building serverless ETL pipelines with Lambda to automate data ingestion and transformation into Redshift. Experience in integrating Redshift Serverless with various AWS services. Experience with Node.js and Python. Working knowledge of AI technologies. Experience in working with AWS services and deploying applications to AWS. Exposure to DevOps tools and automation. Effective communication skills are a must along with a strong customer service orientation and the ability to clearly discern client needs.
EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.” #J-18808-Ljbffr