Accenture Federal Services is a wholly owned subsidiary of Accenture LLP, focused on serving the US federal government. We have over 30 years of experience and a commitment to creating a culture of respect and belonging.
Big Data Engineer / Developer
Location
United States
Posted
1 day ago
Salary
$76.1K - $136K / year
Seniority
Mid Level
Job Description
Job Overview: As a GCP Data Pipeline Developer & BigQuery Data Engineer, you will be responsible for designing, developing, and maintaining data pipelines on Google Cloud Platform (GCP). Your role will involve working with BigQuery to analyze and optimize large datasets, as well as implementing ETL processes to ensure data quality and integrity. Proficiency in foundational GCP services, BigQuery, data engineering principles, SQL, and PySpark will be essential for success in this position. Additionally, experience with ETL tools such as Qlik Data Integration or FiveTran would be a valuable asset in this role.
In this role, you will have the opportunity to work on complex data projects that require a deep understanding of cloud-based data processing and analysis. Your expertise in GCP and BigQuery will be crucial in developing efficient data pipelines that meet the organization's data processing needs. Strong SQL skills will be necessary for querying and manipulating data within BigQuery, while experience with PySpark will enable you to perform advanced data transformations and analytics. Overall, your ability to leverage these tools and technologies effectively will be key to driving data-driven decision-making within the organization.
Key Responsibilities:
- Develop and maintain GCP data pipelines.
- Design and optimize BigQuery data structures.
- Utilize SQL and PySpark for data processing.
- Collaborate with team members on data engineering projects.
- Implement ETL processes using tools like GCP Dataflow, Qlik Data Integration, or FiveTran.
Here's What You Need:
- Proficiency in foundational GCP services.
- Strong experience with BigQuery.
- Solid understanding of data engineering principles.
- Advanced SQL skills for querying and manipulating data.
- Experience with PySpark for data transformations and analytics.
- Familiarity with ETL tools such as Qlik Data Integration or FiveTran.
- Ability to design and implement scalable data solutions.
- Strong analytical and problem-solving skills.
- Excellent collaboration and communication skills.
- US Citizenship required, No Dual Citizenship
Bonus points if you have:
- Experience with other cloud platforms and big data technologies.
- Previous experience in a similar role within a data-driven organization.
- Certifications related to GCP, BigQuery, or data engineering.
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, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, 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.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Senior Data Engineer designing GCP solutions at unybrands.
Data Warehouse Developer supporting New England Life Care's data infrastructure
The Data Engineer will be responsible for building and maintaining ETL/ELT pipelines using SQL and Python, developing transformations with dbt in a Snowflake warehouse, and creating optimized datasets to power analytics and machine learning capabilities. This role also involves implementing data quality checks and supporting reverse ETL workflows to operationalize warehouse data.
Senior Data Engineer Solution Design Focused
unybrandsThe leading next generation e-commerce platform
The role involves leading the design and implementation of end-to-end, scalable, and secure data architectures primarily on Google Cloud Platform. This includes building robust ETL/ELT pipelines, optimizing BigQuery warehousing, and ensuring high standards for data quality and governance.
