What are the responsibilities and job description for the Data Engineer position at Lockheed Martin?
COVID-19 continues to significantly impact our employees, families and communities. With employee health and safety as our top priority, and as a federal contractor, Lockheed Martin is taking action to address the increased risk and uncertainty COVID-19 variants pose in the workplace and ensuring we meet our commitments to national security.
To uphold safety for all employees, we will continue to request vaccination status for all Lockheed Martin employees including new hires. All current and newly hired employees are required to follow onsite safety measures based upon the COVID-19 Community Level at the specific work location.
Description:At Lockheed Martin Rotary and Mission Systems, we are driven by innovation and integrity. We believe that by applying the highest standards of business ethics and visionary thinking, everything is within our reach – and yours as a Lockheed Martin employee. Lockheed Martin values your skills, training and education. Come and experience your future!
Data Analytics Innovations (DAI) is currently hiring a Data Engineer to work a 100% remote position. DAI is focused on harnessing the power of data, analytics, and software to solve the world’s toughest problems. DAI is rapidly delivering tangible, differentiated, and meaningful software in both the defense and commercial domains. You would be joining a team with diverse backgrounds who are at the forefront of developing talent, technology, and strategy in these rapidly-advancing fields. The team is leading many initiatives to evolve both Lockheed Martin and customer cultures to embrace game changing capabilities, accelerated computing, and data-driven decision making. Our rapidly evolving development team functions like a small startup within Lockheed Martin Rotary and Mission Systems, rapidly developing software in pursuit of these objectives, and working with a wide variety of internal customer and expert groups.
The Data Engineer delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.
Primary Responsibilities:
• Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis
• Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications
• Work through all stages of a data solution lifecycle, e.g., analyze/profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics
• Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases
• Define standards, best practices, and certification processes for data objects
• Conduct performance tuning and optimization of data processing and storage
• Write complex queries that can scale to meet requirements
• Verification/validation that data solutions and/or system performance meets requirements
• Document data definitions, dictionaries, and architectures
• Define how data will be collected, what data will be needed, constraints to be considered
Basic Qualifications:
• Bachelors degree in Computer Science, Systems Engineering, or related field
• 2 or more years of experience in Systems Engineering to include systems design, requirements, analysis, and management of complex systems over their lifecycles
• 2 or more years of experience in design or development of enterprise data solutions, applications, and integrations
• 2 or more years of experience with modern enterprise data architectures, design patterns, and data toolsets and the ability to apply them
Desired Skills:
• Data APIs
• Database systems (SQL and NO SQL)
• Distributed data systems (e.g., Hadoop, HBase, Cassandra, Spark)
• Proficiency in data modeling techniques and understanding of normalization
• Extraction, Transformation and Load (ETL) tools
• Data warehousing solutions (Time phasing, Dimensional modeling, Snapshot)
• Database architecture
• AWS services (i.e. S3, EC2, EMR, Lambda)
• Software development tools (GitLab, Git)
• Software engineering experience
• Languages: Python, Java Script, SQL, XML
• Strong problem solving, conceptualization, and communication skills
To uphold safety for all employees, we will continue to request vaccination status for all Lockheed Martin employees including new hires. All current and newly hired employees are required to follow onsite safety measures based upon the COVID-19 Community Level at the specific work location.
Description:At Lockheed Martin Rotary and Mission Systems, we are driven by innovation and integrity. We believe that by applying the highest standards of business ethics and visionary thinking, everything is within our reach – and yours as a Lockheed Martin employee. Lockheed Martin values your skills, training and education. Come and experience your future!
Data Analytics Innovations (DAI) is currently hiring a Data Engineer to work a 100% remote position. DAI is focused on harnessing the power of data, analytics, and software to solve the world’s toughest problems. DAI is rapidly delivering tangible, differentiated, and meaningful software in both the defense and commercial domains. You would be joining a team with diverse backgrounds who are at the forefront of developing talent, technology, and strategy in these rapidly-advancing fields. The team is leading many initiatives to evolve both Lockheed Martin and customer cultures to embrace game changing capabilities, accelerated computing, and data-driven decision making. Our rapidly evolving development team functions like a small startup within Lockheed Martin Rotary and Mission Systems, rapidly developing software in pursuit of these objectives, and working with a wide variety of internal customer and expert groups.
The Data Engineer delivers full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.
Primary Responsibilities:
• Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis
• Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications
• Work through all stages of a data solution lifecycle, e.g., analyze/profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics
• Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases
• Define standards, best practices, and certification processes for data objects
• Conduct performance tuning and optimization of data processing and storage
• Write complex queries that can scale to meet requirements
• Verification/validation that data solutions and/or system performance meets requirements
• Document data definitions, dictionaries, and architectures
• Define how data will be collected, what data will be needed, constraints to be considered
Basic Qualifications:
• Bachelors degree in Computer Science, Systems Engineering, or related field
• 2 or more years of experience in Systems Engineering to include systems design, requirements, analysis, and management of complex systems over their lifecycles
• 2 or more years of experience in design or development of enterprise data solutions, applications, and integrations
• 2 or more years of experience with modern enterprise data architectures, design patterns, and data toolsets and the ability to apply them
Desired Skills:
• Data APIs
• Database systems (SQL and NO SQL)
• Distributed data systems (e.g., Hadoop, HBase, Cassandra, Spark)
• Proficiency in data modeling techniques and understanding of normalization
• Extraction, Transformation and Load (ETL) tools
• Data warehousing solutions (Time phasing, Dimensional modeling, Snapshot)
• Database architecture
• AWS services (i.e. S3, EC2, EMR, Lambda)
• Software development tools (GitLab, Git)
• Software engineering experience
• Languages: Python, Java Script, SQL, XML
• Strong problem solving, conceptualization, and communication skills
Data and Machine Learning Scientist
Catalytic Data Science -
Westport, CT
Information Technology - Senior Data Engineer
Sacred Heart University -
Fairfield, CT
Data Storyteller
Groundwork Bridgeport -
Bridgeport, CT