• collaborate and partner with stakeholders to prioritize, design, and fulfill their data analytics needs • identify KPIs driving business growth and performance and work closely with the business teams to define them • work across the data stack to design and build various data products (pipelines, data models, analysis) • help garner trust in data from the business by documenting analytics best practices, assisting with data discoverability, governance, and accuracy • promote and drive a self-service data culture by building easy to use analytics products and teaching technical and non-technical users how to use them • communicate progress, risks, and completion of projects to stakeholders

• Own end-to-end implementation of data solutions, from problem definition through production deployment • Design scalable data models and data pipelines that support business-critical use cases • Improve the performance, reliability, and cost-efficiency of our Databricks environment • Lead technical decisions around data architecture and deployment patterns • Ensure production-grade quality through testing, code review, observability, and monitoring • Remove blockers independently, including configuring infrastructure when necessary

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients’ toughest challenges. Skills and attributes for success: - Complete development efforts across data pipeline to store, manage, and provision data to data consumers. - Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. - Write code to ensure the performance and reliability of data extraction and processing. - Support continuous process automation for data ingest. - Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. - Work with program management and engineers to implement and document complex and evolving requirements. - Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. - Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications - Must be a US Citizen. - Must be able to obtain a Public Trust Clearance. - 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. - Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. - Proficiency in developing ETL processes, and performing test and validation steps. - Proficiency to manipulate data (Python, R, SQL, SAS). - Strong knowledge of big data analysis and storage tools and technologies. - Strong understanding of the agile principles and ability to apply them. - Strong understanding of the CI/CD pipelines and ability to apply them. - Experience with relational database, such as PostgreSQL. - Work comfortably in version control systems, such as Git Repositories. Requirements - Experience creating and consuming APIs. - Experience with DHS and knowledge of DHS standards a plus. - Candidates will be given special consideration for extensive experience with Python. - Ability to develop visualizations utilizing Tableau or PowerBI. - Experience in developing Shell scripts on Linux. - Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. - Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Benefits - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays

Company : enGenJob Description : JOB SUMMARY This role is an integral senior member of a technical team, responsible for supporting the design, development, and maintenance of the organization's data infrastructure, ensuring the efficient and reliable flow of data across various systems. This position is responsible for ensuring the reliable movement, transformation, and storage of data across various platforms. The incumbent will work closely with data professionals, analysts, and engineers to build and optimize data pipelines, ensuring data quality and integrity. The ideal candidate is adaptable, solution-oriented, and capable of collaborating across multiple teams to support a broad range of data initiatives. The incumbent and team will be involved in every aspect of the data process, from idea generation, analysis, design, build, and support, using the latest technologies and design patterns. ESSENTIAL RESPONSIBILITIES - Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems - Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs - Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs - Monitor work against production schedule, provide progress updates, and report any issues or technical difficulties to lead developers regularly - Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations. - Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking - Mentor other associate and intermediate data engineers as needed - Perform data analysis and provide insights to support decision-making across various departments - Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed - Other duties as assigned or requested. EXPERIENCE Required - 5 years of experience in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable, highly available systems - 5 years of experience in a data engineering, ETL development, or data management role. - 5 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB). - 5 years of experience in data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Redshift, BigQuery) Preferred - 7 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory). - 7 years of experience defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities - 7 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare - 7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services - 7 years of experience in data governance, data quality, and data security best practices - 7 years of experience translating requirements, design mockups, prototypes or user stories into technical designs - 7 years of experience in producing data-related code that is fault-tolerant, efficient, and maintainable SKILLS - Demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment - Adaptability: Strong ability to take on diverse tasks and projects, adapting to the evolving needs of the organization - Analytical Thinking: Strong analytical skills with a focus on detail and accuracy - Interest and ability to learn other data development technologies/languages as needed - Technical Proficiency: Comfortable with a range of data tools and technologies, with a willingness to learn new skills as needed - Strong track record in designing and implementing large-scale data sources - Strong sense of ownership, urgency, and drive - Demonstrated passion for user experience and improving usability - Team Collaboration: A team player who can work effectively in cross-functional environments - Experience and willingness to mentor junior data engineers and help develop their skills and leadership EDUCATION Required - Bachelor’s degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field Preferred - Master's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field LICENSES or CERTIFICATIONS Required - None Preferred - None Language (Other than English): None Travel Requirement: 0% - 25% PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS Position Type Office- or Remote-based Teaches / trains others Occasionally Travel from the office to various work sites or from site-to-site Rarely Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required No Lifting: up to 10 pounds Constantly Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Pay Range Minimum: $78,900.00 Pay Range Maximum: $147,500.00 Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. 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