Data Engineer

Accenture Federal Services

. Build, maintain, and optimize batch and streaming data pipelines for analytics and AI workloads .

Posted 10/6/2026full-timeRemote • United StatesMid-LevelSenior💰 $103,200 - $196,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing data pipelines for analytics and AI workloads, with strong proficiency in SQL, Python, and cloud technologies such as BigQuery and GCP. Capable of implementing data governance, security standards, and maintaining documentation for data processes.

Highest-signal resume keywords

Data Pipeline DevelopmentBigQuery OptimizationData Governance and ComplianceCloud Platform Experience (GCP)Machine Learning Dataset Preparation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonDataflow (Apache Beam)Dataproc (Spark)BigQueryPub/SubData ModelingDistributed Data ProcessingInfrastructure as Code (Terraform)CI/CD Deployment

Soft Skills

Team LeadershipCollaborationProblem-SolvingCommunication

Tools & Technologies

Cloud MonitoringCloud LoggingCloud Composer (Airflow)Google Cloud Security ToolsGoogle Cloud NetworkingGoogle Storage Services

Industry Keywords

Data EngineeringData Quality ChecksSchema ValidationMetadata ManagementAgile Methodologies

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudGoogle Cloud PlatformPythonSparkSQLTerraform

About the role

Key responsibilities & impact

Build, maintain, and optimize batch and streaming data pipelines for analytics and AI workloads
Ingest structured, semi-structured, and unstructured datasets from APIs, databases, SaaS systems, streaming feeds, and file-based sources
Transform, clean, enrich, and standardize data using Dataflow (Apache Beam), Dataproc (Spark), BigQuery SQL, and Python
Deliver curated datasets into BigQuery for analytics, reporting, and machine learning training
Build and maintain ML-ready feature pipelines
Implement data quality checks, schema validation, and automated testing
Monitor pipeline health using Cloud Monitoring and Cloud Logging
Apply governance, security, and compliance standards, including IAM roles, encryption, data masking, and auditing
Enforce schema evolution policies, metadata management, and lineage tracking using Dataplex/Data Catalog
Maintain documentation for datasets, transformations, pipeline logic, and operational procedures
Write Python, SQL, Beam, and Spark code
Manage ingestion flows using Pub/Sub, GCS, APIs, Datastream, and database connectors
Optimize BigQuery tables, partitions, clustering, materialized views, and query performance
Implement and maintain DAGs with Cloud Composer (Airflow)
Troubleshoot pipeline failures, latency issues, and data quality gaps
Participate in code reviews, architectural discussions, and agile sprint ceremonies
Collaborate with Data Architects, Data Scientists, ML Engineers, and business stakeholders
Develop and maintain Infrastructure as Code using Terraform and CI/CD deployment pipelines

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related technical field
3–6+ years of hands-on experience in data engineering or a similar technical field
Minimum three years of experience leading technical teams to achieve outcomes
Experience developing and implementing technical standards for cloud and on-prem environments
Proven experience building production data pipelines on cloud platforms, preferably GCP
Hands-on experience with BigQuery, GCS, Dataflow (Apache Beam), Dataproc (Spark), and Pub/Sub
Experience preparing ML-ready datasets for model training
Strong background in SQL, Python, distributed data processing, and data modeling
Experience with governance, security, and compliance frameworks including IAM, encryption, data masking, and auditing
Familiarity with Google Cloud Security tools, Google Cloud Monitoring & Logging tools, Google Cloud Networking, and Google Storage services
Must have US work authorization that does not now or in the future require visa sponsorship

Benefits

Comp & perks

Collaborative and caring community
Hands-on experience
Certifications
Industry training
Equal employment opportunity
Reasonable accommodations for disabilities or religious observances