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SalaryGeneDx is seeking a senior data engineer for our Data Warehouse and business intelligence platform team, which allows our engineering teams to publish key data so that our internal analysts can guide our business decisions.
In this role, you will work with other senior data engineers to create a Data Warehouse allowing our operations, product, and commercial teams to analyze heterogeneous data to guide our business decisions. As a senior member of our engineering team, you will be able to lead significant technical initiatives or contribute advanced functional knowledge as an individual contributor. While you will not be asked to manage a team in this role, your depth and breadth of knowledge of data engineering and other adjacent engineering skills will allow you to make strong technical designs for complex systems, and your senior leadership abilities would allow you to manage a team as required in the future. You will work easily with members of our technical and non-technical teams to craft technical implementation plans that identify and create key user features quickly and incrementally, while not sacrificing the long term value of our software systems.
Your experience with contemporary data engineering practices for governance and data quality will serve your colleagues in analytical roles by keeping data well-organized, discoverable, and consistent. Your strong proficiency in Python, Scala, and SQL along with your knowledge of contemporary ETL/ELT, CDC, pub-sub, and other event architectures will ensure you help our team implement cost-controlled, performant code for populating and maintaining our Data Warehouse. Your knowledge of general Software Engineering will allow you to make pull requests into other codebases in the company as required, with a quick understanding and strong technical communication to coordinate with owners of upstream systems. Your ability to contribute from a mindset of supporting your colleagues will contribute to our culture of empowerment with responsibility and leadership through service from all team members.
Experience, Education, Traits, and Skills
- Proven experience designing and implementing Data Warehouses including data modeling, schema design, and performance optimization.
- Strong Proficiency relevant languages (SQL, Python, Scala) for data manipulation and automation tasks.
- Solid understanding of ETL/ELT concepts and experience with ETL tools and frameworks
- Experience in implementing cloud-based infrastructure as code including version control and CI/CD with best practices
- Experience with best practices for data governance, data quality, and privacy frameworks (GDPR, CCPA)
- Strong analytical and problem-solving skills, with an attention to detail and a drive for delivering high-quality solutions with the most important features first
- Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
- Understanding of business intelligence job roles and objectives, including tooling like Tableau
- Bachelor's degree and 5 years of experience required.
The Responsibilities
- Designing and developing architecture of our Data Warehouse, ensuring scalability, efficiency, and reliability.
- Designing, building, and maintaining ETL processes and integration pipelines to efficiently extract, transform, and load data from various sources into unified warehouse.
- Collaborate with cross-functional teams, including data scientists, analysts, and Software Engineers, and stakeholders to gather requirements and understand data needs.
- Optimize data models, schemas, and SQL queries to enhance the performance and speed of data retrieval and processing.
- Implement data quality checks, validation rules, and monitoring mechanisms to ensure the accuracy, consistency, and integrity of data stored in unified warehouse.
- Develop and maintain documentation, including data dictionaries, system diagrams, and technical specifications, to facilitate knowledge sharing and maintain data governance standards.
- Participate in code reviews, testing, and deployment activities to ensure high-quality and reliable data engineering solutions.
The Objectives
- Data warehouse and business intelligence dashboard houses data from key systems of record
- Data are added quickly in an incremental, adaptable, and easily maintained way
- Analyst users can access reliable data and create their own analyses and dashboards with ease
- Engineers of upstream systems can add and update data into the Data Warehouse with no dependency on Data Warehouse engineers for specific updates
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Science - Minded, Patient - Focused.
At GeneDx, we create, follow, and are informed by cutting-edge science. With over 20 years of expertise in diagnosing rare disorders and diseases, and pioneering work in the identification of new disease-causing genes, our commitment to genetic disease detection, discovery, and diagnosis is based on sound science and is focused on enhancing patient care.
Experts in what matters most.
With hundreds of genetic counselors, MD/PhD scientists, and clinical and molecular genomics specialists on staff, we are the industry's genetic testing experts and proud of it. We share the same goal as healthcare providers, patients, and families: to provide clear, accurate, and meaningful answers we all can trust.
SEQUENCING HAS THE POWER TO SOLVE DIAGNOSTIC CHALLENGES.
From sequencing to reporting and beyond, our technical and clinical experts are providing guidance every step of the way:
TECHNICAL EXPERTISE
- High-quality testing: Our laboratory is CLIA certified and CAP accredited and most of our tests are also New York State approved.
- Advanced detection: By interrogating genes for complex variants, we can identify the underlying causes of conditions that may otherwise be missed.
CLINICAL EXPERTISE
- Thorough analysis: We classify variants according to our custom adaptation of the most recent guidelines. We then leverage our rich internal database for additional interpretation evidence.
- Customized care: Our experts review all test results and write reports in a clear, concise, and personalized way. We also include information for research studies in specific clinical situations.
- Impactful discovery: Our researchers continue working to find answers even after testing is complete. Through both internal research efforts and global collaborations, we have identified and published hundreds of new disease-gene relationships and developed novel tools for genomic data analysis. These efforts ultimately deliver more diagnostic findings to individuals.
Learn more About Us here.
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Essential on-site and customer facing employees may be required to provide proof of COVID-19 vaccinations. Such employees may request exemptions for medical conditions or religious beliefs.
Benefits include:
- Paid Time Off (PTO)
- Health, Dental, Vision and Life insurance
- 401k Retirement Savings Plan
- Employee Discounts
- Voluntary benefits
GeneDx is an Equal Opportunity Employer.
All privacy policy information can be found here.
