Data Engineer

Requirements:

• Authorized to work in the United States without current or future visa sponsorship
• Bachelors degree or higher in Computer Science, Engineering, or a related field
• At least 3 years of experience in data engineering or data analytics
• At least 3 years of advanced SQL and data analysis experience, with a strong understanding of relational database concepts
• At least 2 years of experience with Linux command-line tools and scripting
• At least 3 years of Python development experience, with expert-level proficiency
• At least 1 year of experience with big data processing frameworks and tools
• Hands-on experience with Google Cloud Platform services such as Cloud Storage, Dataflow, Pub/Sub, and BigQuery
• Proficiency in SQL, Python, Linux shell scripting, and data modeling
• Solid knowledge of data modeling techniques and the ability to analyze source systems and transform data for target models
• Experience with large-scale data warehouses (10+ TB) and high-volume ETL/ELT workloads (50M+ records per day)
• Demonstrated experience delivering end-to-end technical solutions in enterprise BI or data warehousing environments
• Experience tuning and optimizing performance across data delivery pipelines, from ingestion through analytics
• Experience migrating data in various formats, including JSON, delimited files, APIs, and real-time feeds, into Google BigQuery is strongly preferred
• Experience working in a Scrum or Agile environment and with tools such as Jira
• Preferred: experience with a data science workbench or machine learning development environment
• Preferred: familiarity with data engineering for machine learning pipelines, including data preparation, splitting, feature engineering, and scoring

Responsibilities:

• Partner with stakeholders across product, architecture, development, business intelligence, and executive teams
• Analyze data from multiple sources and develop ways to integrate it into our enterprise data ecosystem
• Build automated pipelines to ingest and process structured and unstructured data using batch and streaming patterns and cloud-native tools
• Work with diverse datasets and technologies to identify cross-system correlations, patterns, and data relationships
• Build, schedule, and monitor data pipeline orchestrations
• Automate processes to optimize compute and storage usage across our cloud data platform
• Develop and improve monitoring and observability for our cloud-based data platforms
• Support knowledge sharing, cross-training, and team-member onboarding
• Provide stakeholders with regular updates on progress, risks, and deliverables
• Participate in daily Scrum meetings and contribute to our Agile development environment
• Stay current with emerging data warehousing and analytics trends and technologies, particularly in retail

Technologies:

• Big Data
• BigQuery
• Business Intelligence
• Cloud
• ETL
• Support
• JIRA
• JSON
• Linux
• Machine Learning
• Python
• SQL
• Ada
• GCP

More

Join Family Dollars Data & Analytics Delivery Organization as a Data Engineer during a major company transformation, where data-driven insights support customer experience. We are seeking someone who can connect business needs with technical solutions and help design and build scalable data engineering solutions on our cloud data platform. This is a full-time, onsite role at our Store Support Center in Chesapeake, Virginia; we offer relocation assistance to candidates outside the Hampton Roads area. The projected salary range is $95,000–$118,500, with a 10% annual bonus opportunity. We are an equal opportunity employer committed to inclusive employment practices and reasonable accommodations for qualified individuals with disabilities.

last updated 43 week of 2026