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Accenture

Advises businesses and runs their technology

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeTampa, FL, USA$118.9k - $162.3kIn-person

About the Job

Requirements

  • Solid understanding of ETL/ELT processes and data modeling best practices.
  • Hands-on experience implementing workflows in Prefect; Prefect 2.0 is preferred.
  • In-depth knowledge of Elasticsearch indexing, cluster management, and search optimization.
  • Proficiency in Python and familiarity with common data libraries such as Pandas, PySpark, and requests.
  • An active TS/SCI federal security clearance is required.

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, machine learning, 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 with architecture, machine learning, 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.

Desired Qualifications

  • Strong experience with Apache NiFi for data flow management and real-time ingestion.
  • Experience building or maintaining RAG pipelines, including vector databases, embeddings, document chunking strategies, and 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 such as OpenSearch, Pinecone, and Weaviate.
  • Familiarity with containerized workflows using Docker and Kubernetes.
  • Experience supporting large language model or generative AI production systems.
  • Background in distributed systems, streaming platforms, or data mesh architectures.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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