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Data Engineer Gcp Data Engineer Jobs in Brandon, FL

Data Engineer

Tampa, FL · On-site

$118K - $162K/yr

We are looking for a Data Engineer with strong hands-on experience designing, developing, and managing large-scale data workflows across structured and unstructured datasets. This role focuses ...

New

Data Engineer

Saint Petersburg, FL · On-site

$108K - $130K/yr

... data infrastructureExperience with recognized industry patterns, methodologies, and techniquesNice to Haves:Familiarity with Agile engineering practices2+ years of experience on Kubernetes, Helm ...

Data Engineer

Saint Petersburg, FL · On-site

$108K - $130K/yr

... data infrastructureExperience with recognized industry patterns, methodologies, and techniquesNice to Haves:Familiarity with Agile engineering practices2+ years of experience on Kubernetes, Helm ...

Data Engineer | TS/SCI Required

Tampa, FL · On-site

$108K - $129K/yr

Share: Share Data Engineer TS/SCI Required with Facebook Share Data Engineer TS/SCI Required with LinkedIn Share Data Engineer TS/SCI Required with Twitter Caution against fraudulent job offers.

Data Engineer

Tampa, FL · On-site

$118K - $162K/yr

We are looking for a Data Engineer with strong hands‑on experience designing, developing, and managing large‑scale data workflows across structured and unstructured datasets. This role focuses ...

New

Lead Data Engineer

Tampa, FL · On-site

$96K - $127K/yr

Lead Data Engineer Location: Tampa, FL, 33601 Clearance: TOP SECRET The Lead Data Engineer will be responsible for designing, developing, and maintaining the company's data architecture. They will ...

SQL Data Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Role Summary We are seeking a Database Developer/Administrator with strong development and ... Cloud database experience - Azure preferred (Azure SQL, Managed Instance), or AWS/GCP equivalents.

... GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python ...

Lead Data Engineer

Tampa, FL · On-site

$96K - $127K/yr

Ascension Federal Services, Inc. is seeking a Lead Data Engineer responsible for designing, developing, and maintaining the company's data architecture. This role involves leading a team of data ...

Data Engineer, Mid

Tampa, FL · On-site

$61K - $141K/yr

Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

Mid Data Engineer

Tampa, FL · On-site

$61K - $141K/yr

R0245461 Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today ...

Data Engineer, Mid

Tampa, FL · On-site +1

$61K - $141K/yr

Share Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today ...

Data Engineer, Mid

Tampa, FL · On-site

$61K - $141K/yr

Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ...

Senior Data Engineer

Tampa, FL · On-site

$100K - $136K/yr

The Leidos Defense Sector is seeking highly qualified Senior Data Engineers to support a multidisciplinary team dedicated to delivering innovative planning, operational, technical, analytical, and ...

New

AWS Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Data Engineer Location:Tampa ,FL Our team's line of questioning would be testing candidate's ability to deploy using automation, operate, incident handle, tune for performance, cloud data migration ...

PCA Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. In this role, you will be aligned with a specific ...

Big Data Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

Big Data Engineer City :Tampa State :FL : TOP REQUIREMENTS: Big Data (Spark, Scala, Hive, Hadoop Ecosystem) Data Streaming (Kafka) Responsibilities * Building and supporting a cloud based analytical ...

Showing results 21-40

Data Engineer Gcp Data Engineer information

See Brandon, FL salary details

$38.7K

$112.7K

$154.2K

How much do data engineer gcp data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data engineer gcp data engineer in Brandon, FL is $112,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $119,500.00 per year, depending on experience, location, and employer.

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Brandon, FL?

For Data Engineer Gcp Data Engineer jobs in Brandon, FL, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Brandon, FL look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Brandon, FL are:

What cities near Brandon, FL are hiring for Data Engineer Gcp Data Engineer jobs?

Cities near Brandon, FL with the most Data Engineer Gcp Data Engineer job openings:

Infographic showing various Data Engineer Gcp Data Engineer job openings in Brandon, FL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $112,714 per year, or $54.2 per hour.

$118K - $162K/yr

Full-time

Posted 2 days ago

New


Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

48th of 495 rated business services


Job description

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!
We are looking for a Data Engineer with strong hands-on experience designing, developing, and managing large-scale data workflows across structured and unstructured datasets. This role focuses heavily on building reliable RAG (Retrieval-Augmented Generation) pipelines, orchestrating ETL/ELT processes, and deploying scalable data systems in AWS.
Responsibilities
  • Design, build, and maintain RAG pipelines, including document ingestion, indexing, embedding workflows, and model retrieval flows.
  • Develop and manage structured and unstructured data pipelines supporting analytics, ML, and application workloads. Build and optimize ETL/ELT pipelines in AWS using services such as S3, Lambda, Step Functions, EMR, Glue, ECS/EKS, and IAM best practices. Implement and operate NiFi flows for high-throughput, low-latency data ingestion and transformation.
  • Develop, orchestrate, and schedule workflows using Prefect, ensuring reliability, observability, and proper error handling. Implement indexing, search, and retrieval patterns using ElasticSearch, including schema design, cluster management, and query optimization.
  • Collaborate closely with architecture, ML, and application teams to support scalable data solutions.
  • Ensure data quality, lineage, governance, and security across all pipelines.
  • Monitor system performance and troubleshoot issues across distributed data systems.

Qualifications
  • Solid understanding of ETL/ELT processes and data modeling best practices.
  • Hands-on experience implementing workflows in Prefect (Prefect 2.0 preferred). In-depth knowledge of ElasticSearch indexing, cluster management, and search optimization.
  • Proficiency in Python and familiarity with common data libraries (Pandas, PySpark, requests, etc.).

Preferred Qualifications
  • Strong experience with Apache NiFi for data flow management and real-time ingestion.
  • Experience building or maintaining RAG pipelines (e.g., vector databases, embeddings, document chunking strategies, retrieval optimization).
  • Proven ability to manage structured and unstructured data pipelines at scale.
  • Experience with AWS cloud services for data engineering.
  • Strong version control and CI/CD experience.
  • Experience with vector databases (OpenSearch, Pinecone, Weaviate, etc.)
  • Familiarity with containerized workflows (Docker, Kubernetes)
  • Experience supporting LLM or generative AI production systems
  • Background in distributed systems, streaming platforms, or data mesh architectures

Clearance
  • An active TS/SCI federal security clearance is required

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.
The pay range for 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 is:
$118,900-$162,300 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 youare 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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