Pay: USD 103,200–196,400/yearAnnual period assumed — pay source
The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $103,200—$196,400 USD What We Believe
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Sponsorship: Visa sponsorship not confirmed — sponsorship source
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.
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Apply at Accenture Federal Services

What you’ll work on

Full posting

Build, maintain, and optimize batch and streaming data pipelines to support analytics and AI workloads.
Write efficient, maintainable Python, SQL, Beam, and Spark code.
Deliver high quality curated datasets into BigQuery for analytics, reporting, and machine learning training.

From the employer’s posting

Core Data & AI Pipeline Development Build, maintain, and optimize batch and streaming data pipelines to support analytics and AI workloads. Ingest structured, semi structured, and unstructured datasets from APIs, databases, SaaS systems, streaming feeds, and file based sources.

Engineering & Collaboration Write efficient, maintainable Python, SQL, Beam, and Spark code. Manage ingestion flows using Pub/Sub, GCS, APIs, Datastream, and database connectors.

Transform, clean, enrich, and standardize data using Dataflow (Apache Beam), Dataproc (Spark), BigQuery SQL, and Python. Deliver high quality curated datasets into BigQuery for analytics, reporting, and machine learning training. Build and maintain ML ready feature pipelines supporting Data Scientists and ML Engineers.

What you’ll bring

All qualifications

Core experience

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.
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.

Preferred experience

Master’s degree in a technical field.
Knowledge of regulated environments such as FedRAMP, HIPAA, PCI, NIST 800 53, and CIS benchmarks.
Experience with Vertex AI workflows or comparable ML platforms.
Familiarity with Dataplex, data governance frameworks, and metadata management.

Qualification wording

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.

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.

Master’s degree in a technical field.

Knowledge of regulated environments such as FedRAMP, HIPAA, PCI, NIST 800 53, and CIS benchmarks.

Experience with Vertex AI workflows or comparable ML platforms.

Familiarity with Dataplex, data governance frameworks, and metadata management.

Tools in this posting

Python
SQL
BigQuery
dbt
Google Cloud Storage
Kafka
Looker
Spark
Terraform
Google Cloud (GCP)
Airflow
Great_expectations

Source

- 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 high quality curated datasets into BigQuery for analytics, reporting, and machine learning training.

Engineering & Collaboration - Write efficient, maintainable Python, SQL, Beam, and Spark code. - Manage ingestion flows using Pub/Sub, GCS, APIs, Datastream, and database connectors.

- 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.

- Transform, clean, enrich, and standardize data using Dataflow (Apache Beam), Dataproc (Spark), BigQuery SQL, and Python. - Deliver high quality curated datasets into BigQuery for analytics, reporting, and machine learning training. - Build and maintain ML ready feature pipelines supporting Data Scientists and ML Engineers.

- 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).

- 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.

- Knowledge in ML enablement, feature stores, and ML pipeline patterns. - Experience with data quality and testing frameworks such as Great Expectations or dbt tests. 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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. 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.

- Write efficient, maintainable 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.

- Familiarity with Dataplex, data governance frameworks, and metadata management. - Experience with Apache Kafka or other streaming technologies. - Experience with Datastream for change data capture (CDC).

- Strong communication skills and the ability to convey complex data concepts clearly. - Experience with BI tools such as Looker or Looker Studio. - Experience with third party tools such as Armis, BigFix, CrowdStrike, Tenable Nessus, Turbot, ServiceNow, Dynatrace, Splunk, and more.

- Collaborate with Data Architects, Data Scientists, ML Engineers, and business stakeholders. - Develop and maintain Infrastructure as Code using Terraform and CI/CD deployment pipelines. Required Qualifications

- Experience with third party tools such as Armis, BigFix, CrowdStrike, Tenable Nessus, Turbot, ServiceNow, Dynatrace, Splunk, and more. - Hands on experience with DevOps tools and methodologies, including Ansible, GitHub, Jira, Terraform, CI/CD, and cloud migration tools. - Knowledge in ML enablement, feature stores, and ML pipeline patterns.

- 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.

- Familiarity with the following tool categories (VAEC Operational Tools): - Google Cloud Security tools - Google Cloud Monitoring & Logging tools

- Google Cloud Security tools - Google Cloud Monitoring & Logging tools - Google Cloud Networking

- Google Cloud Monitoring & Logging tools - Google Cloud Networking - Google Storage services

- 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.

Job description

View original posting ↗

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

Key Responsibilities

Core Data & AI Pipeline Development

Build, maintain, and optimize batch and streaming data pipelines to support 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 high quality curated datasets into BigQuery for analytics, reporting, and machine learning training.
Build and maintain ML ready feature pipelines supporting Data Scientists and ML Engineers.

Data Quality, Governance & Operations

Implement data quality checks, schema validation, and automated testing within pipelines.
Monitor pipeline health and apply observability best practices 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.

Engineering & Collaboration

Write efficient, maintainable 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.

Required Qualifications

Must be a U.S. Citizen with ability to obtain a Public Trust clearance.

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 the following tool categories (VAEC Operational Tools):
- Google Cloud Security tools
- Google Cloud Monitoring & Logging tools
- Google Cloud Networking
- Google Storage services

Preferred Experience

Master’s degree in a technical field.
Previous experience in Federal Government environments.
Knowledge of regulated environments such as FedRAMP, HIPAA, PCI, NIST 800 53, and CIS benchmarks.
Security certifications such as CISSP or CCSP.
Experience with Vertex AI workflows or comparable ML platforms.
Familiarity with Dataplex, data governance frameworks, and metadata management.
Experience with Apache Kafka or other streaming technologies.
Experience with Datastream for change data capture (CDC).
Knowledge of regulated industries such as public sector, healthcare, or finance.
Strong communication skills and the ability to convey complex data concepts clearly.
Experience with BI tools such as Looker or Looker Studio.
Experience with third party tools such as Armis, BigFix, CrowdStrike, Tenable Nessus, Turbot, ServiceNow, Dynatrace, Splunk, and more.
Hands on experience with DevOps tools and methodologies, including Ansible, GitHub, Jira, Terraform, CI/CD, and cloud migration tools.
Knowledge in ML enablement, feature stores, and ML pipeline patterns.
Experience with data quality and testing frameworks such as Great Expectations or dbt tests.

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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia. 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.

The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is:

$103,200—$196,400 USD

What We Believe

As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.

Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.

Requesting An Accommodation

Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.

Other Employment Statements

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.

Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

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Source & posting history

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Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $103,200—$196,400 USD What We Believe

Location & working pattern

Washington, DC

Working pattern and location restrictions need checking in the full posting.

Work authorization

Required Qualifications - Must be a U.S. Citizen with ability to obtain a Public Trust clearance. - Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or related technical field.

More source context

Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.

More relevant text appears in the full description.

Open source at boards.greenhouse.io ↗Read the full description ↓

Status in our records: Active
First seen by us: Oct 7, 2026
Recorded sightings: 5

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