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Internship Financial Data Engineer Jobs in Bloomfield, CT

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Data Engineer Location: Hartford, CT Onsite position Fulltime position JD: Required Skills ... financial services, healthcare, or e-commerce domains is a plus. Manikanth Sarian Solutions, Inc.

Sr Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role: Sr Data Engineer Location: Hartford, CT Onsite position Fulltime Position TCS/Hartford JD ... Prior experience in financial services, healthcare, or e-commerce domains is a plus.

Lead Data Engineer

Holyoke, MA · On-site

$150K - $170K/yr

... a Data Engineer to join our team. In this role, you will design, develop, and maintain the ... Enhanced 401(k) and financial planning support * Tuition reimbursement and professional development

As a Data Engineer II on this team, you turn ML from a promising notebook into a reliable product ... Leverage experience in financial services or other regulated industries to quickly understand ...

New

The FP&A Analyst will be responsible for analyzing financial data, creating financial models ... finance internship or role * Exposure to budgeting, forecasting, or management reporting

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Internship Financial Data Engineer information

See Bloomfield, CT salary details

$13

$25

$38

How much do internship financial data engineer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for internship financial data engineer in Bloomfield, CT is $25.40, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What does an internship financial data engineer do?

An Internship Financial Data Engineer assists in building and maintaining data systems that support financial analysis and decision-making. They work with large datasets, help develop data pipelines, and ensure data quality and integrity for financial applications. Interns may use programming languages like Python or SQL, and tools such as databases and cloud platforms, to process and analyze financial data. Their work supports the broader data engineering team and helps improve the efficiency of financial data management within the organization.

What are the key skills and qualifications needed to thrive as an internship financial data engineer?

To thrive as an Internship Financial Data Engineer, you need a solid grasp of statistics, programming (especially Python or R), and foundational knowledge of finance or economics, typically supported by relevant coursework or a related degree. Familiarity with data visualization tools (like Tableau), SQL databases, and cloud platforms such as AWS or Azure is often expected. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with teams. These abilities are crucial for transforming raw financial data into actionable insights and supporting data-driven decision-making in financial organizations.

What is the difference between Internship Financial Data Engineer vs Financial Data Analyst?

AspectInternship Financial Data EngineerFinancial Data Analyst
Required CredentialsCurrently pursuing or recently completed a degree in finance, data science, or related fields; some programming knowledgeBachelor's degree in finance, economics, or related fields; proficiency in data analysis tools
Work EnvironmentInternship setting, often in finance or tech companies, focusing on data pipeline developmentOffice environment, analyzing financial data, creating reports, and supporting decision-making
Employer & Industry UsageUsed by financial institutions, tech firms, and investment companies for data engineering tasksCommon in banks, investment firms, and corporate finance departments for data analysis

The main difference is that an Internship Financial Data Engineer focuses on building and maintaining data infrastructure during an internship, often involving programming and data pipeline work. In contrast, a Financial Data Analyst primarily interprets and reports on financial data to support business decisions. Both roles require a strong understanding of finance and data tools but differ in their core responsibilities and work environment.

What job categories do people searching Internship Financial Data Engineer jobs in Bloomfield, CT look for?

The top searched job categories for Internship Financial Data Engineer jobs in Bloomfield, CT are:

What cities near Bloomfield, CT are hiring for Internship Financial Data Engineer jobs?

Cities near Bloomfield, CT with the most Internship Financial Data Engineer job openings:

Data Engineer - Corporate Technology Data Engineering & Analytics

Springfield, MA • On-site

MassMutual
Finance and Insurance • 201 - 500 employees

$134K - $176K/yr

Full-time

Re-posted 17 days ago


Job description

The Opportunity

Join our dynamic team as a Data Engineer – Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in driving the execution of our data and technology strategy. This role is crucial in driving digital transformation and operational efficiency across Investment Management. As part of this role, you will engage in building data solutions including streaming and batch pipelines, data marts & data warehouse. You will be responsible for establishing robust data collection and processing pipelines to fulfill Investment Management business requirements.

The Team

You’ll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Data Engineer, you'll play a critical role in high impact Corporate Technology Investment Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with Corporate Technology Data and Analytics team and Investment management business stakeholders. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed.

The Impact:

  • Design, build, and measure complex ELT jobs to process disparate data sources and form a high integrity, high quality, clean data asset. 
  • Executes and provides feedback for data modeling policies, procedure, processes, and standards. 
  • Assists with capturing and documenting system flow and other pertinent technical information about data, database design, and systems. 
  • Develop comprehensive data quality standards and implement effective tools to ensure data accuracy and reliability.
  • Collaborate with various Investment Management departments to gain a better understanding of new data patterns.
  • Collaborate with Data Analysts, Data Architects, and BI developers to ensure design and development of scalable data solutions aligning with business goals. 
  • Translate high-level business requirements into detailed technical specs. 

The Minimum Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Information Systems or related technical field.
  • 8+ years of experience with data analytics, data modeling, and database design. 
  • 5+ years experience with ELT methodologies and tools. 
  • 5+ years experience in designing, developing, tuning and troubleshooting SQL. 
  • 3+ years of coding and scripting (Python, Java, Scala) and design experience. 
  • 2+ years of experience with Spark framework. 

The Ideal Qualifications

  • Knowledge of Informatica Power center and Informatica IDMC. 
  • Knowledge of distributed, column- orientated technology to create high-performant database technologies like - Vertica, Snowflake. 
  • Strong data analysis skills for extracting insights from financial data
  • Proficiency in reporting tools (e.g., Power BI, Tableau). 
  • Domain knowledge of Investment Management operations including Security Masters, Securities Trade and Recon Operations, Reference data management, Pricing. 
  • Familiarity with regulatory requirements and compliance standards in the investment management industry.
  • Experience with IBOR’s such as Blackrock Alladin, CRD, Eagle STAR (ABOR), Eagle Pace, and Eagle DataMart. 
  • Familiarity with investment data platforms such as GoldenSource, FINBOURNE, NeoXam, RIMES, and JPM Fusion.
  • Strong analytical and problem-solving abilities.
  • Exceptional communication and interpersonal skills.
  • Ability to influence and motivate teams without direct authority.
  • Excellent time management and organizational skills, with the ability to prioritize multiple initiatives.

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