Blue Origin
Senior Data Engineer
Blue Origin, Merritt Island, Florida, us, 32954
At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our diverse team of problem solvers as we add new chapters to the history of spaceflight!At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our diverse team of problem solvers as we add new chapters to the history of spaceflight!We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!This role is part of Enterprise Technology (ET), where we're developing the digital infrastructure needed to build the road to space, with an emphasis on digital capabilities required to advance Blue Origin's mission. Enterprise Technology is the center of excellence for digital technology at Blue Origin, providing oversight and governance to align technology and business strategies.
Blue is a leading aerospace manufacturing company dedicated to innovation, excellence, and cutting-edge technology. We are seeking a highly skilled Senior Data Engineer with preferable experience in data platforms to join our dynamic team. This role is crucial in advancing our data capabilities for aerospace manufacturing, enabling us to drive innovation and efficiency across our organization.We are looking for an experienced Senior Data Engineer with experience in Data Platforms like Databricks, Snowflake & Palantir Foundry or other similar data platforms to lead our efforts in ingesting, curating, and creating an ontology/canonical model to drive operational outcomes in aerospace manufacturing. The successful candidate will play a critical role in establishing and maintaining data pipelines standards, data ingestion templates, and low code ETL processes to ensure seamless data integration, federation, and self-service data consumption within the organization.Key Responsibilities:Data Ingestion and Ontology/Canonical Model Creation:Design and develop data ingestion templates and ETL processes for operational & analytical data platforms.Create and maintain an ontology structure tailored to aerospace manufacturing data requirements.Metadata Driven Data Pipelining:Build and promote reusable data ingestion and ETL templates to facilitate data publishing and federation across teams in the enterprise.Data Application Development and Support:Collaborate with domain consumers/leads to build domain-specific data applications for viewing knowledge graphs, creating and orchestrating events on the Ontology or canonical models.Data Reconciliation:Implement solutions for data reconciliation with various data sources to ensure data accuracy and consistency.Monitoring and Performance:Develop and maintain monitoring & observability solutions to track data pipeline statistics and ensure data quality.Monitor data platform usage and optimize as needed.Data Management Controls:Solution and implement data management controls including data quality, role based access, data classification & data archiving as part of data ingestion and building the Ontology.DataOps:Implement DataOps best practices to streamline data pipeline deployment and management.Develop & maintain monitoring solution to track data pipeline statistics and enable proactive issue detection and resolution.Mentorship and Knowledge Sharing:Provide mentorship to junior data engineers and assist in their skill development.Decompose complex data integration problems into known patterns for execution by junior team members.Technology Stack ExperienceProgramming Languages - Python, PySpark, Java, SQLDatabases - Postgres, OracleCloud Services - AWS, Azure, GCP (storage, compute, databases, catalogs, streaming, replication, Queueing & Notification, Logging & Monitoring service) - any one of the cloud platforms is good but AWS is preferred.Big Data FrameworksMetadata Catalogs - DataHub, Informatica, Collibra (experience in any one is good)Data Quality Platforms - Anomolo, Informatica, BigEye (experience in any one is good)Event Platforms - Kafka, MSKData Platforms - Palantir Foundry, Databricks, Snowflake (experience in any one is good)Qualifications:Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.Proven experience as a Data Engineer, with a strong focus on data platforms like Databricks, Snowflake or Palantir Foundry.Minimum experience required in the data engineering & data management: 8 - 12 years.Extensive knowledge of data ingestion, ETL processes, and data modeling.Strong problem-solving skills and the ability to work with complex data integration challenges.Experience with data reconciliation, data pipeline & data monitoring, and performance optimization.Excellent communication and teamwork skills.Leadership experience and the ability to mentor junior engineers.Prior experience in aerospace manufacturing or a related industry is a plusAbility to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusionMust be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Compensation Range for:WA applicants is $170,805.00-$239,127.00
Other site ranges may differApplications will be accepted on an ongoing basis until the requisition is closed.Inclusivity StatementDon't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Export Control RegulationsApplicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S.as a refugee or granted asylum.BenefitsBenefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role.Equal Employment OpportunityBlue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "EEO Is the Law," please see here.Affirmative Action and Disability AccommodationApplicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us atEEOCompliance@blueorigin.com.California Applicant Privacy NoticeIf you are a California resident, please reference the CA Applicant Privacy Notice here.
Blue is a leading aerospace manufacturing company dedicated to innovation, excellence, and cutting-edge technology. We are seeking a highly skilled Senior Data Engineer with preferable experience in data platforms to join our dynamic team. This role is crucial in advancing our data capabilities for aerospace manufacturing, enabling us to drive innovation and efficiency across our organization.We are looking for an experienced Senior Data Engineer with experience in Data Platforms like Databricks, Snowflake & Palantir Foundry or other similar data platforms to lead our efforts in ingesting, curating, and creating an ontology/canonical model to drive operational outcomes in aerospace manufacturing. The successful candidate will play a critical role in establishing and maintaining data pipelines standards, data ingestion templates, and low code ETL processes to ensure seamless data integration, federation, and self-service data consumption within the organization.Key Responsibilities:Data Ingestion and Ontology/Canonical Model Creation:Design and develop data ingestion templates and ETL processes for operational & analytical data platforms.Create and maintain an ontology structure tailored to aerospace manufacturing data requirements.Metadata Driven Data Pipelining:Build and promote reusable data ingestion and ETL templates to facilitate data publishing and federation across teams in the enterprise.Data Application Development and Support:Collaborate with domain consumers/leads to build domain-specific data applications for viewing knowledge graphs, creating and orchestrating events on the Ontology or canonical models.Data Reconciliation:Implement solutions for data reconciliation with various data sources to ensure data accuracy and consistency.Monitoring and Performance:Develop and maintain monitoring & observability solutions to track data pipeline statistics and ensure data quality.Monitor data platform usage and optimize as needed.Data Management Controls:Solution and implement data management controls including data quality, role based access, data classification & data archiving as part of data ingestion and building the Ontology.DataOps:Implement DataOps best practices to streamline data pipeline deployment and management.Develop & maintain monitoring solution to track data pipeline statistics and enable proactive issue detection and resolution.Mentorship and Knowledge Sharing:Provide mentorship to junior data engineers and assist in their skill development.Decompose complex data integration problems into known patterns for execution by junior team members.Technology Stack ExperienceProgramming Languages - Python, PySpark, Java, SQLDatabases - Postgres, OracleCloud Services - AWS, Azure, GCP (storage, compute, databases, catalogs, streaming, replication, Queueing & Notification, Logging & Monitoring service) - any one of the cloud platforms is good but AWS is preferred.Big Data FrameworksMetadata Catalogs - DataHub, Informatica, Collibra (experience in any one is good)Data Quality Platforms - Anomolo, Informatica, BigEye (experience in any one is good)Event Platforms - Kafka, MSKData Platforms - Palantir Foundry, Databricks, Snowflake (experience in any one is good)Qualifications:Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.Proven experience as a Data Engineer, with a strong focus on data platforms like Databricks, Snowflake or Palantir Foundry.Minimum experience required in the data engineering & data management: 8 - 12 years.Extensive knowledge of data ingestion, ETL processes, and data modeling.Strong problem-solving skills and the ability to work with complex data integration challenges.Experience with data reconciliation, data pipeline & data monitoring, and performance optimization.Excellent communication and teamwork skills.Leadership experience and the ability to mentor junior engineers.Prior experience in aerospace manufacturing or a related industry is a plusAbility to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusionMust be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Compensation Range for:WA applicants is $170,805.00-$239,127.00
Other site ranges may differApplications will be accepted on an ongoing basis until the requisition is closed.Inclusivity StatementDon't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Export Control RegulationsApplicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S.as a refugee or granted asylum.BenefitsBenefits include: Medical, dental, vision, basic and supplemental life insurance, paid parental leave, short and long-term disability, 401(k) with a company match of up to 5%, and an Education Support Program.Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays.Discretionary bonus: Bonuses are designed to reward individual contributions as well as allow employees to share in company results.Eligibility for benefits varies by role type, please check with your recruiter for a comprehensive list of the benefits available for this role.Equal Employment OpportunityBlue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws, including the Washington Fair Chance Act, the California Fair Chance Act, the Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws. For more information on "EEO Is the Law," please see here.Affirmative Action and Disability AccommodationApplicants wishing to receive information on Blue Origin's Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us atEEOCompliance@blueorigin.com.California Applicant Privacy NoticeIf you are a California resident, please reference the CA Applicant Privacy Notice here.