Data Engineer

Kforce Inc.
United States
8 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

Big Data BigQuery Databases Information Engineering Data Integration Extract Transform Load (ETL) Data Transformation Data Mining Data Warehousing Database Queries Python (Programming Language) Performance Tuning
+8 more
SQL Databases Enterprise Data Management Data Processing Freeform SQL Google Cloud Enterprise Software Applications Cloud Platform System Data Pipelines

Job description

Kforce has a client that is seeking a remote Senior Data Engineer to join their team., Summary:We are seeking a Senior Data Engineer to support the design, development, and optimization of enterprise data platforms and large-scale data solutions. This role will focus on building and maintaining data pipelines, integrating data from multiple source systems, and enabling scalable analytics and reporting capabilities across the organization., * Design, develop, and maintain robust ETL/ELT data pipelines

  • Build and optimize complex data models, data transformations, and large-scale data integrations
  • Develop and tune highly complex SQL queries for data processing and analysis
  • Integrate and consolidate data from various enterprise systems and databases
  • Work with cloud-based data platforms and data warehouse technologies to support business intelligence and analytics initiatives
  • Implement workflow orchestration and automation solutions to improve data processing efficiency
  • Collaborate with cross-functional teams including analytics, engineering, and business stakeholders to deliver data-driven solutions
  • Support data quality, governance, and performance optimization efforts
  • Contribute to modernization and scalability initiatives within enterprise data environments
  • Partner with teams leveraging machine learning and AI technologies to support data consumption and model development

Requirements

  • 6-8+ years of data engineering experience
  • Strong in SQL (be able to tune queries properly, write complex queries, join tables, etc.)
  • Experience with ETL processes
  • Python experience
  • Google Cloud Platform Experience (with BigQuery)
  • Strong Communication - ability to communicate with the business and stakeholders
  • Experience in creating pipelines for data extraction, cleansing, and movements (airflow) a plus

Benefits & conditions

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

1:19 min

The true role and evolution of data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all