Data Engineer

When you join Ancestry, you join a human-centered company where every person's story is important. Ancestry®, the global leader in family history, empowers journeys of personal discovery to enrich lives. With our unparalleled collection of more than 40 billion records, over 3 million subscribers and over 23 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we've built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving and sharing the most important information about themselves and their families. We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity. Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve. Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people's lives? Join the curious. We are seeking a Data Engineer to join our Commercial Analytics organization. Reporting to our Senior Manager of Martech & Platform Management, you will focus on development of ingesting data across the organization to process, transform, and deliver to our internal and external stakeholders. What you will do... Work with large datasets, performing data cleansing, transformation, and loading (ETL) processes. Practice good coding techniques including writing unit and integration tests, doing commits and pull requests (Git), etc. Collaborate with cross-functional teams (engineering, analysts, marketing, etc.) to understand data requirements to develop scalable, resilient, and maintainable ETL solutions that meet business needs. Work with internal and external stakeholders to identify and define data requirements, design solutions, and ensure timely delivery Participate in an on-call rotation to ensure pipelines are successful and data meets quality requirements Assist in monitoring the performance of data pipelines and systems, identifying and resolving issues. Ensure data quality, consistency, and integrity by developing and maintaining automated data validation processes. Help document data flows, pipelines, and systems for internal knowledge sharing. Ensure ETL pipelines meet quality standards and data quality requirements Stay up-to-date with industry best practices, tools, and technologies related to data engineering. Who you are... 3+ years of experience as a data engineer, with specific experience in developing ETL pipelines Knowledge of data engineering concepts, such as ETL processes, data pipelines, and data warehousing 3+ years of industry experience programming in Java, Python and SQL (or related languages) Experience with version control tools such as Git. Experience working with data orchestration tools such as Apache Nifi, Apache Airflow. Experience using data warehouse platforms such as Amazon Redshift, Working knowledge of data visualization tools such as Tableau. Familiarity with agile software development Excellent written and verbal communication skills Bachelors or 4-year degree in Computer Science (or related degree) or equivalent industry experience

When you join Ancestry, you join a human-centered company where every person's story is important. Ancestry®, the global leader in family history, empowers journeys of personal discovery to enrich lives. With our unparalleled collection of more than 40 billion records, over 3 million subscribers and over 23 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we've built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving and sharing the most important information about themselves and their families.