Solutions various data and data warehousing needs for Investment Compliance Engine (ICE). Oversees junior developers by providing guidance and supervising the requirement analysis, design, and end-to ...
Solutions various data and data warehousing needs for Investment Compliance Engine (ICE). Oversees junior developers by providing guidance and supervising the requirement analysis, design, and end-to ...
Director, Data Engineering
Durham, NC · On-site
Solutions various data and data warehousing needs for Investment Compliance Engine (ICE). Oversees junior developers by providing guidance and supervising the requirement analysis, design, and end-to ...
Director, Data Engineering
Durham, NC · On-site
Solutions various data and data warehousing needs for Investment Compliance Engine (ICE). Oversees junior developers by providing guidance and supervising the requirement analysis, design, and end-to ...
Director, Data Engineering
Durham, NC · On-site
Solutions various data and data warehousing needs for Investment Compliance Engine (ICE). Oversees junior developers by providing guidance and supervising the requirement analysis, design, and end-to ...
Director, Data Engineering
Durham, NC · On-site
Solutions various data and data warehousing needs for Investment Compliance Engine (ICE). Oversees junior developers by providing guidance and supervising the requirement analysis, design, and end-to ...
Data Engineering Lead- Finance
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Data Engineering Lead- Finance
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Manager Content Data Engineering
Raleigh, NC · On-site +1
Partner with Product and Engineering to define structured data and metadata needs for customer-facing search, benchmarking, analytics, and AI experiences. * Communicate technical concepts, tradeoffs ...
Lead Data Engineer
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Lead Data Engineer
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Data Engineer II
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Quick apply
Data Engineer
Raleigh, NC · Remote
$50/hr
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Data Engineering information
See Apex, NC salary details
$35K - $48.7K
1% of jobs
$48.7K - $62.4K
2% of jobs
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4% of jobs
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9% of jobs
$101.4K is the 25th percentile. Wages below this are outliers.
$89.8K - $103.5K
11% of jobs
$103.5K - $117.1K
7% of jobs
The median wage is $121.5K / yr.
$117.1K - $130.8K
50% of jobs
$130.8K - $144.5K
2% of jobs
$144.5K - $158.2K
1% of jobs
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0% of jobs
$171.9K - $185.5K
13% of jobs
$35K
$125.7K
$185.5K
How much do data engineering jobs pay per year?
What does a data engineer do?
Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.
What is data engineering?
A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.
Are data engineers still in demand?
What skills and qualifications are needed to thrive as a data engineer?
To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Fidelity Investments rating
8.7
Based on 271 frontline employees who took The Breakroom Quiz
15th of 150 rated financial services
Job description
Position Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Provides technology and functional leadership and expertise in solutioning Security Exchange Commission (SEC) Regulatory Fund and Aggregate monitoring rules for compliance monitoring. Solutions various data and data warehousing needs for Investment Compliance Engine (ICE). Oversees junior developers by providing guidance and supervising the requirement analysis, design, and end-to-end delivery process, including reviewing designs, data models, and developed code. Manages Agile teams, conducts agile ceremonies, and backlog grooming sessions to help with estimation and planning. Draws on in-depth knowledge of the business or function to provide business unit-wide solutions by developing complex, multi-faceted data solutions. Researches and recommends new technologies in support of the strategic direction of the business unit and participates in the research and recommendation of appropriate models, methods, tools, and technologies to achieve business-unit-wide solutions.
Primary Responsibilities:
- Translates and incorporates business vision and strategy to architectural strategy.
- Participates in business and technology fusion sessions with product teams on new requirements for monitoring rules.
- Identifies potential gaps in the current operation models and design component enhancements.
- Identifies functional gaps and technical challenges, and works with compliance technology teams, architecture, and product owners to propose solutions.
- Serves as a technical lead on core engine module enhancements for initiatives.
- Sets best engineering practices in database code development and Agile process.
- Identifies and consults with internal and external technical resources to produce cross-company strategic designs.
- Consults on development and delivery of major technology initiatives for the business unit.
- Consults on deployment of major project deliverables.
- Consults on the documentation of major technology applications.
- Initiates and drives project or strategy discussions with users or external groups to resolve issues.
- Provides leadership, technical supervision, and expertise to multiple teams in broad technical areas on complex organization-wide projects.
- Advises senior management on technical strategy.
- Researches and recommends new technologies.
- Regularly provides guidance, training, and coaching to other team members for performance and career development.
- Identifies and plans for future resource needs.
Education and Experience:
Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Engineering (or closely related occupation) designing, developing and implementing information technology solutions in a financial services, operations, and product development environment.
Or, alternatively, Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Engineering (or closely related occupation) designing, developing and implementing information technology solutions in a financial services, operations, and product development environment.
Skills and Knowledge:
Candidate must also possess:
- Demonstrated Expertise ("DE") identifying and performing analysis and design of highly scalable and performant investment compliance monitoring systems, leveraging data for the implementation of Fund Monitoring (FM), Aggregate Monitoring (AM), and Limit Analysis (LA) tests during Time-Of-Trade (ToT) and as part of End-Of-Day (EOD) batch cycle, using Oracle, Informatica, and Kafka; and performing analysis of investment compliance needs (Fund of Fund (FoF) explosion and derivatives look-through), using Oracle tools.
- DE building system architecture designs and developing solutions for application data storage, using Oracle technologies; performing data warehousing using Informatica, Oracle tools, and Information barriers; creating and customizing data quality frameworks as per compliance monitoring needs, using Oracle Enterprise Data Quality (EDQ); providing data protection for data structures using Oracle tools and Security Assertion Markup Language (SAML) Single Sign-On (SSO) frameworks; performing performance tuning and optimization using Oracle tools; and performing shell scripting and scheduling using Autosys.
- DE provisioning Cloud infrastructure components -- Elastic MapReduce (EMR), Elastic Compute Cloud (EC2), Elastic Kubernetes Service (EKS), Relational Database Service (RDS), and Elastic Load Balancer setup -- for data analysis, reporting, and consumption on Cloud, using Amazon Web Services (AWS), AWS Lambda server-less computing, Cloud formation, and CI/CD tools (Jenkins and GitHub).
- DE performing Aerospike caching to improve real-time compliance and check performance improvement, using Oracle; and designing and developing real-time ingestion pipes into Snowflake, using Snowflake analytics.
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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.
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.
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