Entry Level Data Engineering Manager Jobs
New grad data engineering manager jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings mix on-site and remote settings across Technology & Software, Retail, and E-Commerce & Online Marketplaces, with employers like Amazon, Apple, and CVS Health hiring at this level now.
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Position Summary
State Street’s Legal Department is seeking an Assistant Vice President, Legal Data Engineering to join Legal Operations. This role is responsible for the engineering and operational reliability of Legal data products and platforms, including data pipelines, integrations, data models, and technical issue management.
The AVP partners closely with Technology and Legal stakeholders and works alongside the Legal Data Controller to ensure Legal data is accurate and that corrective actions and safeguards are implemented to maintain data quality. The role operates with a high degree of autonomy and supports enterprise governance expectations through robust engineering practices and well‑controlled operational processes.
Key Responsibilities
Design, build, and support Legal data pipelines and integrations (ingestion, transformation, validation, and publishing), ensuring reliable upstream/downstream dependencies.
Develop and maintain data models, metadata standards, and reusable data assets to support reporting, analytics, and operational use cases.
Support ad hoc reporting requests by producing reliable datasets/outputs and partnering with stakeholders to clarify requirements and validate results.
Implement data quality controls (automated checks, monitoring, alerting) and partner with data owners to resolve root causes.
Partner with Technology to align on architecture, security, access patterns, and operational support models.
Support release management for platform changes (testing coordination, deployment readiness, and post‑release verification).
Prepare Legal data for AI use cases by curating training/feature datasets, standardizing metadata, and ensuring data is usable for tagging, classification, and search experiences.
Build and run AI-enabled pipelines (where applicable) to support automated tagging, classification, and enrichment of Legal content and contract metadata, partnering with Technology and model owners to operationalize outputs.
Qualifications
Required
Master’s degree or equivalent advanced professional experience is required.
Experience building and supporting data pipelines, integrations, or data products in an enterprise environment.
Knowledge of Databricks (e.g., notebooks, jobs/workflows, Delta Lake concepts) and how it is used to build and operate data pipelines.
Deep understanding of relational databases and data modeling, including strong SQL skills and familiarity with OData concepts/patterns.
Demonstrated ability to troubleshoot complex data/platform issues and drive root‑cause resolution with Technology partners.
Strong analytical, organizational, and problem‑solving skills; ability to operate autonomously and manage multiple priorities.
Preferred
Experience with Legal systems, contract repositories, or contract lifecycle management (CLM) platforms.
Familiarity with data governance, operational control frameworks, and audit/regulatory expectations.
Experience with data quality tooling, monitoring/alerting patterns, and batch/near‑real‑time processing concepts.
Experience translating business requirements into technical designs and partnering effectively across Legal, Risk, Compliance, and Technology.
Data visualization skills and/or UI/UX design experience to improve usability of data products, dashboards, or end‑user experiences.
Salary Range:
$70,000 - $130,000 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street’s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home .
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
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See All 42 Entry Level Data Engineering Manager Jobs
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Find JobsEntry Level Data Engineering Manager Job Market
Who's Hiring
- Amazon13

- Apple4

- CVS Health3

- Oracle2

- Deloitte2

Top Industries Hiring
- Technology & Software18
- Retail12
- E-Commerce & Online Marketplaces12
- Electronics & Hardware4
- Construction & Real Estate4
Entry Level Data Engineering Manager Jobs: Frequently Asked Questions
How do I get an entry level data engineering manager job?
At the entry level, employers look for candidates who can demonstrate hands-on data pipeline work, even from academic projects, internships, or self-directed builds. Familiarity with tools like SQL, Python, and cloud platforms such as AWS or GCP gives candidates a clear edge. A well-documented portfolio showing real data workflows matters more than years on a resume at this stage.
Which companies hire entry level data engineering managers?
Companies hiring entry level data engineering managers right now include Amazon, Apple, and CVS Health, based on current listings on Migrate Mate as of August 2026. Hiring at this level comes from a mix of fast-growing tech companies, enterprise employers building out data teams, and startups that prefer candidates who can grow into broader responsibilities quickly.
Are there remote entry level data engineering manager jobs?
Yes, though on-site roles still make up a share of the market. About 33% of entry level data engineering manager openings are remote or hybrid as of August 2026, giving candidates the flexibility to apply outside their local area. Remote postings at this level often come from companies with distributed engineering teams that are comfortable onboarding junior talent virtually.
Are these new grad data engineering manager jobs?
Yes, this page includes new grad, recent graduate, and junior data engineering manager roles alongside other entry level postings. A new grad-friendly posting typically welcomes candidates with zero to two years of experience, accepts internship or project work in place of full-time history, and does not require prior management experience, making them accessible to candidates coming directly from school or a bootcamp.
Which industries hire the most entry level data engineering managers?
Entry Level data engineering manager roles concentrate in Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of August 2026. These sectors drive hiring at the entry level because they generate high volumes of data and need early-career talent to help build and maintain the pipelines that support analytics, product decisions, and operations.