The Role
The Cyber Data Analytics chapter within the Enterprise Cybersecurity organization is seeking a Data Engineer to join our team. You will be at the center of building, maintaining and securing scalable data solutions, including complex data pipelines, migrations, sophisticated data models. Our team serves as a proactive shield against internal and external cyber threats focusing on Identity and Access Management, supporting multiple executive leaders with high-impact analytics for decision-making.
The Expertise and Skills You Bring
- Bachelor’s or Master’s degree in computer science, Engineering, or a related technical field.
- 2-5 years of relevant work experience in data engineering and data analysis.
- Strong SQL skills and knowledge of multiple RDBMS, specifically Snowflake (including SnowSQL), Postgres, SQL Server and Oracle.
- Proven data analysis skills to ensure data quality such as accuracy, consistency and completeness and to identify gaps and anomalies.
- Proven experience building data pipelines using Python, with NiFi and dbt knowledge being a significant advantage.
- Experience in building Power BI Reports that transform data into aesthetically appealing visuals.
- Hands-on knowledge of AWS infrastructure, including S3, EC2, RDS, EKS, Batch, and CloudFormation.
- Good understanding of data modeling principles, specifically 3NF and Star Schema models.
- Experience with CI/CD workflows using Jenkins and GitHub for automated deployment.
- Familiarity with workload scheduling and orchestration tools like Control-M.
- Ability to work independently in an Agile environment (Scrum and Kanban) brings technical stories to completion.
- Excellent communication and presentation skills.
Primary Responsibilities
- Design and build scalable data solutions, including data processing pipelines, migrations, and complex data modeling.
- Perform data analysis to assure data quality in terms of accuracy, consistency and completeness and to identify gaps and anomalies.
- Collaborate with product owners and business partners to translate high-level requirements into actionable technical tasks.
- Analyze and manipulate datasets to ensure rigorous data integrity, accessibility, and security throughout the entire lifecycle.
- Integrate automated testing and continuous validation into the sprint cycle to ensure production reliability.
- Develop end-to-end solutions using distributed platform design patterns and modern analytics technologies.
- Support and enhance production systems, focusing on high performance, speed, and overall system reliability.
- Identify new development opportunities within a scalable public Cloud environment to enhance organizational capability.
The Team
Our Cyber Data Analytics Team is at the forefront of enterprise cybersecurity, dedicated to providing brand new data analytics solutions. We are part of the Enterprise Cyber Security organization. Our team boasts a diverse range of skills, including data engineers, analysts, and cybersecurity experts. Together, we build a dynamic environment that fosters innovation and problem-solving, envisioning a future where our analytics solutions serve as a proactive shield against cyber threats.
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Category:Information TechnologySkills Required
- Bachelor's or Master's degree in computer science, engineering, or a related technical field
- 2-5 years of relevant experience in data engineering and data analysis
- Strong SQL skills and experience with Snowflake, SnowSQL, PostgreSQL, SQL Server, and Oracle
- Data analysis experience focused on accuracy, consistency, completeness, gaps, and anomalies
- Experience building data pipelines using Python
- Experience building Power BI reports
- Hands-on knowledge of AWS infrastructure, including S3, EC2, RDS, EKS, Batch, and CloudFormation
- Understanding of 3NF and Star Schema data modeling principles
- Experience with CI/CD workflows using Jenkins and GitHub
- Familiarity with workload scheduling and orchestration tools such as Control-M
- Ability to work independently in Agile environments using Scrum and Kanban
- Excellent communication and presentation skills
- Knowledge of Apache NiFi and dbt
Fidelity Investments Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.
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Retirement Support — Retirement contributions and benefits are frequently highlighted as a strong part of the total rewards package. Employer retirement support is seen as materially enhancing overall compensation.
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Strong & Reliable Incentives — Profit sharing and bonuses are commonly described as valuable additions to pay. These incentives help the total compensation feel more competitive even when base salaries are viewed as moderate.
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Healthcare Strength — Health coverage is often called out as a positive aspect of the benefits package. Access to solid healthcare benefits contributes to satisfaction with total compensation.
Fidelity Investments Insights
What We Do
At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.
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