Manages data engineering teams and leads architecture, design, and delivery across the data lifecycle. Builds scalable data infrastructure, pipelines, warehouses, and ETL processes using cloud and big-data technologies. Responsibilities include data modeling, system optimization, automation, analytics, predictive modeling support, and collaboration with business intelligence and data warehouse teams. The role also evaluates business needs, interprets trends, develops prototypes, and communicates analytical results to stakeholders.
About Us
The Data Engineering Sr Manager will be responsible for managing data engineering deliverables to support our technology and product engineering teams as well as the needs of our data scientists and business analysts. This role will be responsible for employing techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field.
Job Responsibility
• Manage team of data engineers (both full-time associates and/or third-party resources).
• Lead and participate in architecture and design efforts.
• Lead the building of systems for all parts of the data lifecycle: collection, storage, accessibility, insights, and business action.
• Identify, design, and implement internal process improvements including re-designing infrastructure for scalability, optimizing data delivery, and automating manual processes.
• Build required infrastructure for optimal extraction, transformation, and loading of data from various data sources using Snowflake/Azure and SQL technologies.
• Analyze and organize raw data.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Interpret trends and patterns.
• Conduct complex data analysis and report on results.
• Prepare data for prescriptive and predictive modeling.
• Build algorithms and prototypes.
Job Qualifications
• Must be able to communicate ideas and analysis results effectively both verbally and in writing to both internal and external clients.
• Responsible for executing analytical projects, leading project development for data analysis and decision support tools.
• Coordinate closely with the Business Intelligence and DWH team for data integration and alignment.
• Knowledge of programming languages (e.g., Java and Python).
• Hands-on experience with SQL database design.
• Great numerical and analytical skills.
• Degree in Computer Science, IT, or similar field; Master's preferred.
• Data engineering certification (e.g., IBM Certified Data Engineer) is a plus.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with Snowflake/Azure cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Education/Experience
Degree in information technology or computer science with additional vendor-specific certification. BS or MS degree in Computer Science or a related technical field. 4+ years of Python or Java development experience. 4+ years of SQL experience (No-SQL experience is a plus). 4+ years of experience with schema design and dimensional data modeling. Ability to manage and communicate data warehouse plans to internal clients. Experience designing, building, and maintaining data processing systems. Experience working with a cloud platform such as Snowflake / Azure or Databricks.
Job Responsibility
• Manage team of data engineers (both full-time associates and/or third-party resources).
• Lead and participate in architecture and design efforts.
• Lead the building of systems for all parts of the data lifecycle: collection, storage, accessibility, insights, and business action.
• Identify, design, and implement internal process improvements including re-designing infrastructure for scalability, optimizing data delivery, and automating manual processes.
• Build required infrastructure for optimal extraction, transformation, and loading of data from various data sources using Snowflake/Azure and SQL technologies.
• Analyze and organize raw data.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Interpret trends and patterns.
• Conduct complex data analysis and report on results.
• Prepare data for prescriptive and predictive modeling.
• Build algorithms and prototypes.
Job Qualifications
• Must be able to communicate ideas and analysis results effectively both verbally and in writing to both internal and external clients.
• Responsible for executing analytical projects, leading project development for data analysis and decision support tools.
• Coordinate closely with the Business Intelligence and DWH team for data integration and alignment.
• Knowledge of programming languages (e.g., Java and Python).
• Hands-on experience with SQL database design.
• Great numerical and analytical skills.
• Degree in Computer Science, IT, or similar field; Master's preferred.
• Data engineering certification (e.g., IBM Certified Data Engineer) is a plus.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases including Postgres and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with Snowflake/Azure cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Education/Experience
Degree in information technology or computer science with additional vendor-specific certification. BS or MS degree in Computer Science or a related technical field. 4+ years of Python or Java development experience. 4+ years of SQL experience (No-SQL experience is a plus). 4+ years of experience with schema design and dimensional data modeling. Ability to manage and communicate data warehouse plans to internal clients. Experience designing, building, and maintaining data processing systems. Experience working with a cloud platform such as Snowflake / Azure or Databricks.
Work Where You Matter
At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive.
Company Overview
Dollar General Corporation has been delivering value to shoppers for more than 80 years. Dollar General helps shoppers Save time. Save money. Every day.® by offering products that are frequently used and replenished, such as food, snacks, health and beauty aids, cleaning supplies, basic apparel, housewares and seasonal items at everyday low prices in convenient neighborhood locations. Learn more about Dollar General at www.dollargeneral.com/about-us.html.
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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