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Urgent! Data Engineer Job Opening In McLean – Now Hiring Infinitive Inc



Job description

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.

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  • Required Skill Profession

    Computer Occupations



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