Innovation and Automation Specialist

Arlington, VAfull time

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On Site

mid

$93k–$176k

H1B: no

Accenture Federal Services Data Engineer Specialist on the Innovation and Automation team responsible for designing and implementing reusable frameworks and automated patterns for data engineering pipelines. Acts as a subject matter expert and mentor for automation best practices.

Responsibilities

Act as a technical expert on the design and implementation of automated data engineering solutions
Develop and maintain a library of standardized, reusable ETL/ELT pipeline templates using Python, SQL, and frameworks like Databricks or Snowflake
Engineer and implement robust, automated data quality and testing frameworks (e.g., using tools like Great Expectations) that are embedded within the core pipeline templates
Contribute to the development of Infrastructure-as-Code (IaC) modules (Terraform) for the automated provisioning of data infrastructure
Enhance and optimize the CI/CD for Data (DataOps) pipelines, ensuring seamless and reliable deployment of data workflows
Serve as an escalation point for the most complex data engineering and automation challenges, providing expert-level troubleshooting and guidance to other engineers
Mentor other data engineers on automation best practices, code standards, and the use of the frameworks you build
Research and prototype cutting-edge data engineering and automation technologies to drive continuous improvement

Qualification

ProvenStrongSecurity ClearanceActive TS or TS/SCI clearanceAs required by local law

Required

5+ years of hands-on experience in data engineering
Expert-level programming skills in Python and advanced SQL
Proven, in-depth experience building and optimizing data pipelines in a cloud environment (AWS, Azure) on platforms like Databricks or Snowflake
Strong, hands-on experience with Infrastructure-as-Code (IaC) using Terraform
Demonstrable experience with CI/CD principles and tools (e.g., GitLab CI, Jenkins, GitHub Actions) applied to data workflows
Deep understanding of modern data architecture, data modeling, and software engineering best practices

Preferred

Experience in a DevOps or Site Reliability Engineering (SRE) role
Direct experience developing and operationalizing a "pipeline factory" or similar framework
Familiarity with data orchestration tools (e.g., Airflow) and containerization (Docker, Kubernetes)
Experience working in a high-security DoD or Intelligence Community environment
Proven ability to diagnose and resolve complex performance, data quality, and system-level issues
Security Clearance:
Active TS or TS/SCI clearance
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

Company

Accenture Federal Services

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10000+ employees

Consulting

Founded 1989

Source: greenhouse

Active within the past hour

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