Infinitive
Join to apply for the
Data Engineer
role at
Infinitive
About Infinitive Infinitive is a data and AI consultancy that helps clients modernize, monetize, and operationalize their data to generate lasting value. They pride themselves on their deep industry and technology expertise, ensuring that they drive and sustain the adoption of new capabilities. Infinitive is committed to aligning their team with their clients' culture, ensuring a successful partnership by bringing the right mix of talent and skills for high return on investment.
Infinitive has earned recognition as one of the “Best Small Firms to Work For” by Consulting Magazine, receiving this accolade 8 times, most recently in 2025. They have also been honored as a “Top Workplace” by the Washington Post, “Best Places to Work” by the Washington Business Journal, and “Best Places to Work” by Virginia Business.
Job Summary We are seeking a skilled Data Engineer to join our team and play a key role in designing, building, and maintaining robust data pipelines and platforms. The ideal candidate will have strong experience with Python, AWS (Glue, S3, Lambda, CloudWatch), Databricks, Apache Spark, SQL, Snowflake, and DynamoDB. This role involves working with large-scale data processing systems, optimizing ETL/ELT workflows, and ensuring the reliability, scalability, and security of data solutions.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using AWS Glue, Databricks, and Apache Spark
Work with structured and semi-structured data in Snowflake, DynamoDB, and S3
Optimize and troubleshoot Spark jobs for performance and cost efficiency
Develop and maintain Lambda functions to support real-time and batch data processing
Implement data quality, validation, and monitoring using CloudWatch and other observability tools
Design and optimize complex SQL queries for data transformation, aggregation, and reporting
Collaborate with cross-functional teams, including Data Scientists, Analysts, and DevOps teams, to support data-driven decision-making
Implement best practices for data security, governance, and compliance in the cloud environment
Automate data workflows and CI/CD pipelines using infrastructure-as-code and Git-based version control
Required Qualifications
3+ years of experience in Data Engineering or a similar role
Strong proficiency in Python for data processing and automation
Hands-on experience with AWS services including Glue, S3, Lambda, CloudWatch, DynamoDB
Expertise in Databricks and Apache Spark for large-scale data processing
Proficient in SQL for querying and manipulating structured data
Experience working with Snowflake, including schema design and performance tuning
Knowledge of data lake and data warehouse architectures
Familiarity with data security, IAM roles, and cloud-based authentication mechanisms
Strong problem-solving and debugging skills in a cloud-based data environment
Preferred Qualifications
Experience with streaming data architectures using Kafka, Kinesis, or Pub/Sub
Knowledge of orchestration tools such as Airflow, Step Functions, or MWAA
Experience with Terraform or CloudFormation for infrastructure automation
Understanding of data governance frameworks (e.g. Dataplex, Alation, or Unity Catalog)
Experience in CI/CD and DevOps practices for data engineering pipelines
Hands-on experience with monitoring and logging tools, including Splunk and NewRelic
Seniority level Mid-Senior level
Employment type Full-time
Job function Sales, General Business, and Education
Industries Wireless Services, Telecommunications, and Communications Equipment Manufacturing
Referrals increase your chances of interviewing at Infinitive by 2x
#J-18808-Ljbffr
Data Engineer
role at
Infinitive
About Infinitive Infinitive is a data and AI consultancy that helps clients modernize, monetize, and operationalize their data to generate lasting value. They pride themselves on their deep industry and technology expertise, ensuring that they drive and sustain the adoption of new capabilities. Infinitive is committed to aligning their team with their clients' culture, ensuring a successful partnership by bringing the right mix of talent and skills for high return on investment.
Infinitive has earned recognition as one of the “Best Small Firms to Work For” by Consulting Magazine, receiving this accolade 8 times, most recently in 2025. They have also been honored as a “Top Workplace” by the Washington Post, “Best Places to Work” by the Washington Business Journal, and “Best Places to Work” by Virginia Business.
Job Summary We are seeking a skilled Data Engineer to join our team and play a key role in designing, building, and maintaining robust data pipelines and platforms. The ideal candidate will have strong experience with Python, AWS (Glue, S3, Lambda, CloudWatch), Databricks, Apache Spark, SQL, Snowflake, and DynamoDB. This role involves working with large-scale data processing systems, optimizing ETL/ELT workflows, and ensuring the reliability, scalability, and security of data solutions.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using AWS Glue, Databricks, and Apache Spark
Work with structured and semi-structured data in Snowflake, DynamoDB, and S3
Optimize and troubleshoot Spark jobs for performance and cost efficiency
Develop and maintain Lambda functions to support real-time and batch data processing
Implement data quality, validation, and monitoring using CloudWatch and other observability tools
Design and optimize complex SQL queries for data transformation, aggregation, and reporting
Collaborate with cross-functional teams, including Data Scientists, Analysts, and DevOps teams, to support data-driven decision-making
Implement best practices for data security, governance, and compliance in the cloud environment
Automate data workflows and CI/CD pipelines using infrastructure-as-code and Git-based version control
Required Qualifications
3+ years of experience in Data Engineering or a similar role
Strong proficiency in Python for data processing and automation
Hands-on experience with AWS services including Glue, S3, Lambda, CloudWatch, DynamoDB
Expertise in Databricks and Apache Spark for large-scale data processing
Proficient in SQL for querying and manipulating structured data
Experience working with Snowflake, including schema design and performance tuning
Knowledge of data lake and data warehouse architectures
Familiarity with data security, IAM roles, and cloud-based authentication mechanisms
Strong problem-solving and debugging skills in a cloud-based data environment
Preferred Qualifications
Experience with streaming data architectures using Kafka, Kinesis, or Pub/Sub
Knowledge of orchestration tools such as Airflow, Step Functions, or MWAA
Experience with Terraform or CloudFormation for infrastructure automation
Understanding of data governance frameworks (e.g. Dataplex, Alation, or Unity Catalog)
Experience in CI/CD and DevOps practices for data engineering pipelines
Hands-on experience with monitoring and logging tools, including Splunk and NewRelic
Seniority level Mid-Senior level
Employment type Full-time
Job function Sales, General Business, and Education
Industries Wireless Services, Telecommunications, and Communications Equipment Manufacturing
Referrals increase your chances of interviewing at Infinitive by 2x
#J-18808-Ljbffr