Data Engineer

Accenture Federal Services

. Design, build, and maintain batch and streaming data pipelines .

Posted 10/22/2026full-timeRemote • Virginia • United StatesMid-LevelSenior💰 $103,200 - $196,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data pipelines, utilizing Python and SQL for ETL/ELT processes, and optimizing data models in BigQuery. Proficient in collaborating with cross-functional teams to support machine learning initiatives and ensure data quality and governance.

Highest-signal resume keywords

Data Engineering ExperiencePython ExpertiseSQL ProficiencyBigQuery OptimizationETL/ELT Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignETL/ELT DevelopmentData ModelingMachine Learning SupportData Quality Standards

Tools & Technologies

Apache BeamSparkCloud ComposerTerraformCI/CD

Certifications & Qualifications

CISSPCCSP

Industry Keywords

GCP ServicesFederal Government ExperienceRegulated Industry ExperienceFedRAMPHIPAA

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudETLGoogle Cloud PlatformKafkaPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Design, build, and maintain batch and streaming data pipelines
Ingest and transform data from APIs, databases, SaaS applications, and streaming platforms
Develop ETL/ELT processes using Python, SQL, Apache Beam (Dataflow), Spark (Dataproc), and BigQuery
Deliver high-quality, curated datasets for analytics, reporting, and machine learning
Build ML-ready feature pipelines and support AI initiatives
Implement data quality, testing, monitoring, and governance standards
Optimize BigQuery performance, data models, and storage structures
Manage workflow orchestration using Cloud Composer (Airflow)
Support Infrastructure as Code (Terraform) and CI/CD deployment processes
Collaborate with Data Scientists, ML Engineers, Architects, and business stakeholders

Requirements

What you’ll need

3+ years of Data Engineering experience
Python, SQL, and data modeling expertise
Hands-on experience with GCP services including BigQuery, Dataflow (Apache Beam), Dataproc (Spark), Pub/Sub, Cloud Storage (GCS), and Cloud Composer (Airflow)
Experience with ETL/ELT and batch and streaming data pipelines
Knowledge of Terraform, CI/CD, and data quality best practices
Preferred: Vertex AI, Kafka, Dataplex, Datastream, dbt, or Looker
Preferred: Experience supporting ML/AI workloads
Preferred: Federal Government or regulated industry experience (FedRAMP, HIPAA, NIST)
Preferred: CISSP or CCSP certification
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Benefits

Comp & perks

Collaborative and caring community
Hands-on experience
Certifications
Industry training
Wide variety of benefits