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Skills: Python, SQL, Data Analytics, Fraud Detection, Risk Management
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Supervisor II Facility-Based Care Managers (Full-time Remote, North Carolina Based)
Durham, North Carolina, United States · Hybrid
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Senior
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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
bachelor degree, postgraduate degree
Posted 17d ago
Apply by Oct 6
~40 hrs/week
Responsibilities
The Principal Data Engineer will design and lead enterprise-level data architecture strategies while building scalable data platforms using cloud and big data technologies. They will also mentor junior engineers and act as a primary liaison between business units and technical teams to resolve project issues.
Requirements
Candidates must hold a Bachelor's or Master's degree in a technical field and possess several years of experience in data engineering within the financial services industry. Proficiency in Snowflake, Python, and Azure services, along with expertise in data modeling and ETL processes, is required.
Full job description
Job Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Position Description:
Builds data and reporting platforms in Cloud using Big Data technologies -- Hadoop, HBase, MongoDB, and Cassandra. Performs coding in Java, Scala, and Python. Automates Continuous Integration/Continuous Delivery (CI/CD) pipelines, using Git and Jenkins. Performs Extract, Transform, Load (ETL) data integration and develops data movement design patterns, using Informatica. Uses business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives. Analyzes and recommends changes in project development policies, procedures, standards, and strategies to development experts and management. Collaborate with business teams to gather and document functional requirements for data ingestion in Data Lake. Proactively engage with analysts/data modelers to understand requirements and deliver high-quality solutions.
Primary Responsibilities:
Participates in architecture design teams.
Defines and leads enterprise-level data architecture strategies.
Develops and implements advanced data engineering frameworks.
Recommends development testing tools and methodologies and reviews and validates test plans.
Responsible for QA readiness of software deliverables.
Develops comprehensive documentation for multiple applications or subsystems.
Establishes full project life cycle plans for complex projects across multiple platforms.
Responsible for meeting project goals on-time and on-budget.
Advises on risk assessment and risk management strategies for projects.
Plans and coordinates project schedules and assignments for multiple projects.
Acts as a primary liaison for business units to resolve various project/technology issues.
Provides technology solutions to daily issues and technical evaluation estimates on technology initiatives.
Advises senior leadership on data infrastructure and technology solutions.
Mentors junior engineers.
Performs independent and complex technical and functional analysis for multiple divisional initiatives.
Develops innovative solutions to support scalable, secure, and high-performance data environments.
Education and Experience:
Bachelor’s degree in Applied Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and five (5) years of experience as Principal Data Engineer (or closely related occupation) designing, building and maintaining data pipelines using Snowflake, Python, and Azure services for analytics within the financial services industry.
Or, alternatively, Master’s degree in Applied Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Principal Data Engineer (or closely related occupation) designing, building and maintaining data pipelines using Snowflake, Python, and Azure services for analytics within the financial services industry.
Skills and Knowledge:
Candidate must also possess:
Demonstrated Expertise (“DE”) creating enterprise data lakes used for analytics, Artificial Intelligence (AI), and Machine Learning (ML) capabilities on AWS, Microsoft Azure, or Snowflake, using big data processing techniques and solutions – Snowflake or Python; building data movement patterns using ETL/ELT tools; and migrating data between heterogeneous datastores using Snowflake, Python, Informatica, Azure Data Factory, or AWS services.
DE designing complex dimensional models using ER Studio Data Architect with appropriate company taxonomy including Client/Customer, Account, Product and Supply Chain; and creating conceptual, logical and physical models according to relevant standards using single shared unique identifier across all common entities to deliver scalable and high performing solutions.
DE designing, developing, and supporting data driven solutions and data warehouses, using Snowflake, AWS, Microsoft Azure, Python, or Azure Data Factory; creating data visualization using BI Reporting tools -- Tableau or Microsoft Power BI; deploying code changes using Continuous Integration/Continuous Delivery (CI/CD) tools – GitHub or Azure Pipelines; and establishing data governance, cataloging, and change management practices using Alation or Collibra.
DE creating projects stories, backlogs, and references using enterprise tools – JIRA, Confluence, or SharePoint -- to execute project deliverables; and providing project management for Scrum teams -- creating and project managing business, design, development, and test stories -- according to Agile methodologies.
#PE1M2
#LI-DNI
Fidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
Certifications:
Category:
Information Technology
Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Related keywords
Data EngineeringSnowflakePythonAzureHadoopHBaseMongoDBCassandraJavaScalaCI/CDInformaticaData LakeETLELTER Studio
Here to help you grow your savings and invest in the life you want.
Industry
Financial Services
Company size
10,001+ employees
Founded
1946
Headquarters
Boston, MA
LinkedIn followers
1,422,759
Fidelity’s mission is to strengthen the financial well-being of our customers and deliver better outcomes for the clients and businesses we serve. Fidelity’s strength comes from the scale of our diversified, market-leading financial services businesses that serve individuals, families, employers, wealth management firms, and institutions. With assets under administration of $15.0 trillion, including discretionary assets of $5.9 trillion as of March 31, 2025, we focus on meeting the unique needs of a broad and growing customer base. Privately held for 78 years, Fidelity employs more than 77,000 associates across the United States, Ireland, and India.
For our Terms and Conditions, please visit http://go.fidelity.com/LIterms
How much do Data & Analytics jobs in Durham, NC pay?
Based on 256 listings with disclosed salaries, most data & analytics jobs in Durham, NC pay between $79k–$273k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Durham, NC right now?
There are currently 486 open data & analytics positions in Durham, NC listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Durham, NC?
Companies currently hiring include Duke University School of Medicine, Laboratory Corporation of America Holdings, IQVIA, Fidelity Investments, NetApp, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Durham, NC?
Yes — 224 of the 486 open data & analytics positions offer remote or hybrid work (70 remote, 154 hybrid).
How do I apply for Data & Analytics jobs in Durham, NC?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.