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Analytics Engineer
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Experience querying, manipulating, and analyzing data using SQL.
Added just now
Analytics Engineer
Tantalus
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Experience querying, manipulating, and analyzing data using SQL.
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Supervisor of Web Development
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Indianapolis, IN
Use AI tooling in daily work - drafting analysis, building and debugging Power Query and SQL, documenting procedures, and interrogating cash data - and raise the fluency of the broader team…
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Principal Data Engineer - Remote
UnitedHealth Group
Eden Prairie, MN
- $112,700 to $193,200 USD / year
Improve System Quality and Data Reliability: Write advanced, complex SQL with performance tuning and optimization to identify and implement ways to improve data reliability, data integrity,…
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Tech Accelerate Graduate Program - Software Engineer I
RELX INC
Alpharetta, GA
Be proficient in development languages such as Java/J2EE, Python, JavaScript, JSP, C/C++, HTML, XML, SQL, Windows, Linux, and .Net.
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Software Engineer Associate - Technology Development Program 2027, Atlanta, GA
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ATLANTA, GA
- $102,000 to $170,000 USD / year
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Program Analytics & Data Visualization Specialist I
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ATLANTA, GA
- $70,000 to $116,000 USD / year
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Develop and maintain data pipelines and dashboards for large-scale health datasets using R, Python, and SQL.
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…Epic• Experience with Data Models, Clinical, Revenue etc.• SQL…
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…and troubleshoot SOAP web services, XML integrations, Oracle SQL and PL/SQL, and other data exchange…
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Proficient in data management tools, including SQL strongly preferred.
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Guide the design and development of scalable data pipelines and analytics solutions using Databricks, Python, SQL, and modern data engineering practices.
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Knowledge of programming languages such as Python, SQL, R, or STATA.
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AI-Augmented Data Analyst
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Atlanta, GA
- $115,000 to $135,000 USD / year
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Fidelity Technology Group, LLC

Director, Full Stack Engineering

Durham, NC, United States

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Job details

Apply by: Dec 15, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Fidelity will not provide immigration sponsorship for this position.

Job Description:

Position Description:

Leads the design and development of highly available, scalable, and distributed applications and enterprise data platforms that support high‑volume, high‑velocity, and diverse data needs. Drives innovation by exploring emerging technologies, creating prototypes, and collaborating with key partners to advance cloud, data, and analytics capabilities. Develops cloud‑based systems and full‑stack applications across backend services, data pipelines, Application Programming Interfaces (APIs), and modern front‑end frameworks. Defines and implements best‑in‑class engineering practices across development, testing, and production environments. Designs and delivers reusable frameworks for data quality, data security, and automation that can be leveraged across teams and business units. Champions modern DevOps, CI/CD, containerization, orchestration, and version‑control practices to enable efficient, multi‑environment deployments using Jenkins, Kubernetes, Docker, Maven, and Git stash. Applies deep business and technical expertise to build complex, multi‑layered software solutions that address business‑unit‑wide needs. Researches and recommends technologies, architectures, and methods aligned with strategic objectives and long‑term engineering effectiveness. Performs data modeling, including dimensional and Data Vault approaches, to support scalable and resilient data architecture.

Primary Responsibilities:

· Translates business vision and strategy into functional‑level architectural recommendations and determines technical approaches at a strategic level. · Leads high‑level, cross‑functional architecture design efforts, identifying and engaging internal and external technical resources to produce cross‑company strategic designs. · Oversees the technical implementation and deployment of major technology initiatives and cross‑divisional architectural components, ensuring proper documentation and alignment with enterprise standards. · Initiates and drives project and strategy discussions with users and partner groups to address issues, clarify requirements, and guide solution direction. · Sets the vision, goals, and direction for teams and the broader organization, planning and leading major organization‑wide initiatives. · Leverages emerging technologies to simplify and modernize the data ecosystem, driving innovation, prototyping, solution recommendations, and leading teams through successful implementation. · Collaborates across internal and external teams to deliver technology solutions that meet business needs, resolving technical roadblocks, mitigating risks, and improving development agility and productivity. · Provides leadership, technical supervision, and subject‑matter expertise across multiple teams, advising on complex, organization‑wide projects and guiding senior management on technical strategy. · Researches and recommends new technologies, architectures, and methods, identifying opportunities for initiatives that benefit the broader organization. · Acts as a technical leader and mentor, offering guidance, training, and coaching to support team member performance and career development.

Identifies and plans for future resource needs to support long‑term strategic objectives.

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, Full Stack Engineering (or closely related occupation) designing, developing, and delivering large scale analytics applications in an Agile and financial services environment, using AWS, Snowflake, Oracle, Python and Control M.

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, Full Stack Engineering (or closely related occupation) designing, developing, and delivering large scale analytics applications in an Agile and financial services environment, using AWS, Snowflake, Oracle, Python and Control M.

Skills and Knowledge:

Candidate must also possess:

· Demonstrated Expertise architecting, designing, developing, and engineering traditional and real time streaming data platforms using Snowflake, AWS Cloud, Oracle, Postgres, and Hadoop data warehouse applications in an enterprise analytics and marketing Cloud environment, using ETL/ELT processes and Snaplogic; and performing containerization and orchestration using Python. · Demonstrated Expertise implementing robust continuous integration and continuous deployment (CI/CD) pipelines for enterprise Cloud-based and real time streaming data platform solutions for databases -- Snowflake, AWS Cloud, Oracle, Postgres and Hadoop -- using Control M, AWS Event Bridge, Python, UNIX shell scripts, Hive, SQL, and PL/SQL scripts; deploying data pipelines using Git, Maven, Jenkins, Docker and Kubernetes; and analyzing logs with Splunk and Datadog. · Demonstrated Expertise performing data modelling and database design, using dimensional (Star and Snowflake) and Data Vault data modelling techniques, and Type 0 to Type 7-dimensional modeling structures in enterprise analytics and marketing Cloud data warehouse environments. · Demonstrated Expertise contributing to end-to-end application software engineering, platform sustainment, and core system modernization initiatives, ensuring adherence to enterprise engineering governance, architectural runway standards, and regulatory compliance frameworks; and driving solution delivery using hybrid SDLC models, including Waterfall, Agile, and iterative DevSecOps aligned workflows.

#PE1M2

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 TechnologyPlease 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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More about this job

Skills

ICT system programming
Apply information security policies
CI/CD
Jenkins
Kubernetes
Docker
Apache Maven
Git
Data modelling
Architectural design
Documentation
Leadership
Coaching
Computer science
Computer technology
Agile
AWS
Snowflake
Oracle
Python
Apache Hadoop
Data warehouse
Data engineering
UNIX Shell
Apache Hive
SQL
Oracle PL/SQL
Splunk
Datadog
Regulatory compliance
Securities

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