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Summer Data Optimization Jobs (NOW HIRING)

Summer

Data & Intelligence Platform Lead

... optimization at massive scale. You will architect the "Identity" strategy that stitches together disparate federal and private data sources into a definitive user profile, ensuring Summer is Data ...

Visca Web

Senior SEO Specialist

Barnegat, NJ · Hybrid

... data analytics. Friendly startup feeling, with structures and processes in place to continue ... Summer & Christmas offsite gatherings * ...and a few more (good) surprises along the year. This ...

Front Row Group

Senior Manager, SEO, DMS

San Diego, CA · On-site +1

$70K - $80K/yr

... data, creating efficiencies, and looking at every aspect of our client's business from a 360 ... Summer Fridays * Hybrid working schedule (remote + in-office) * ClassPass membership * Client ...

Avocadogreenbrands

Summer Intern

Fullerton, CA · On-site

$20/hr

Conduct market research or data analysis to help the team make informed, data-driven decisions ... Whether it's helping launch a new initiative, optimizing a recurring process, or assisting with ...

Everstream Analytics

Sales/Marketing Summer Internship

$15.25 - $18.50/hr

... build agile, risk-optimized supply chains. By combining real-time data with advanced AI, our ... This is an unpaid internship position for the duration of the summer. What you will learn: Assist ...

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Summer Data Optimization information

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How much do summer data optimization jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for summer data optimization in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

The Summer Data Optimization role typically requires relevant skills in data analysis, programming, and machine learning. Age is not a barrier; many professionals successfully transition into data science later in their careers by gaining necessary certifications and experience.

How much do product data optimizers make?

Product data optimizers typically earn between $40,000 and $70,000 annually, depending on experience, location, and company size. Entry-level roles may start lower, while experienced professionals with skills in data management and e-commerce tools can earn higher salaries.

What are the key skills and qualifications needed to thrive as a Summer Data Optimization Analyst, and why are they important?

To excel as a Summer Data Optimization Analyst, you need strong analytical skills, a background in statistics or data science, and proficiency with data manipulation—often supported by coursework in related fields. Familiarity with technical tools like SQL, Python, Excel, and data visualization platforms such as Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data and convey insights to stakeholders. These skills ensure accurate, actionable analysis that drives business improvements during time-sensitive summer projects.

What is the difference between Summer Data Optimization vs Summer Data Analyst?

AspectSummer Data OptimizationSummer Data Analyst
CredentialsBachelor's in Data Science, Computer Science, or related fieldBachelor's in Data Science, Statistics, or related field
Work EnvironmentData-focused projects, often in tech or consulting firmsData analysis, reporting, and visualization tasks in various industries
Employer & IndustryTech companies, consulting firms, finance, and marketing agenciesCorporate, finance, healthcare, and retail sectors

Summer Data Optimization typically focuses on improving data processes, cleaning, and enhancing data quality, while Summer Data Analysts primarily analyze data sets to generate insights and reports. Both roles require similar educational backgrounds but differ in their core responsibilities and project focus.

Is 30 too late for data science?

Data science is a field open to individuals of various ages, and starting at 30 is not too late. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience through projects or certifications. Many professionals transition into data science later in their careers and find opportunities based on their skills and dedication.

What is a Summer Data Optimization job?

A Summer Data Optimization job typically involves working on projects that improve the efficiency and effectiveness of data management and analysis processes during the summer months. This role may include tasks like cleaning and organizing large datasets, analyzing data trends, optimizing data pipelines, and supporting decision-making with actionable insights. These positions are often internships or temporary roles aimed at students or recent graduates interested in data science, analytics, or engineering. The experience provides hands-on exposure to data tools and optimization techniques, helping candidates build valuable skills for future careers in data-driven fields.

What types of projects or tasks can I expect to work on as a Summer Data Optimization intern?

As a Summer Data Optimization intern, you can expect to work on projects that involve cleaning, analyzing, and optimizing large datasets to improve business processes or inform decision-making. Typical tasks include identifying data quality issues, developing scripts to automate data workflows, and collaborating with analysts or engineers to implement solutions. You may also participate in team meetings to discuss project goals and present your findings. This role provides a great opportunity to develop technical skills while gaining exposure to real-world data challenges.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance system performance and decision-making. Examples include cleaning datasets, indexing databases, and developing algorithms to increase data retrieval efficiency, often using tools like SQL, Python, or data management software.
What cities are hiring for Summer Data Optimization jobs? Cities with the most Summer Data Optimization job openings:
What are the most commonly searched types of Data Optimization jobs? The most popular types of Data Optimization jobs are:
What states have the most Summer Data Optimization jobs? States with the most job openings for Summer Data Optimization jobs include:
Summer Data Optimization jobs near you
Data & Intelligence Platform Lead

Data & Intelligence Platform Lead

Summer

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

Who We Are
Summer is a Certified B Corp® on a mission to restore financial freedom for the 46 million Americans burdened by student debt. We combine deep policy expertise with powerful technology to simplify every step of college cost planning and loan repayment. We have helped people save an average of $278 per month and more than $1.8 billion in total savings to date.
By partnering with leading employers, cities, and financial institutions, including ADP, the City of New York, Banc of California, Norton Healthcare, and the American Federation of Teachers, Summer helps millions of Americans move closer to a debt-free future.
Backed by $30 million in funding from top investors including Rebalance Capital, SemperVirens, QED Investors, General Catalyst, and Flourish Ventures, we're building the infrastructure that powers student loan relief and education affordability in America.
Your Role
We are seeking a Data & Intelligence Platform Lead to join our Engineering team. In this role, you will be the foundational architect of Summer's Data & Intelligence Platform. You will lead evolution from an application-first data culture-currently reliant on tribal knowledge and an ad hoc data lake-to an enterprise-grade platform capable of powering strategic business insights and AI-driven debt optimization at massive scale.
You will architect the "Identity" strategy that stitches together disparate federal and private data sources into a definitive user profile, ensuring Summer is Data Centric, AI-Native, and strategically prepared to navigate the complex business landscape intrinsic to the student loan ecosystem.
You will also support the business as a whole, including preparing data artifacts, processes, and governance methodologies to enable Sales, Marketing, Operations, and the entire Summer team.
What You'll Do
  • Strategic Data Leadership
    • Full enterprise data management: Define and execute the strategy for end-to-end data lifecycle management, including ingestion, storage, processing, quality, and accessibility, establishing data as a first-class, reliable asset across all business functions.
    • Borrower Identity Architecture: Lead the "stitching" of disparate data sources (federal servicers, payroll, and private lenders) to create a high-fidelity, 360-degree view of a user's debt history.
    • Mature the Data Lake: Mature our current Snowflake infrastructure into a governed, high-performance BI layer. You will eliminate "tribal knowledge" by codifying naming conventions and logic into clean, reusable models.
    AI & Intelligence Infrastructure
    • AI-Native Core: Build and maintain the "Feature Store" and semantic layer required for possible AI features including agentic policy decoding, workflow review anomaly detection, and more.
    • Contextual Reasoning: Implement the data structures (Vector stores, Graph-based logic) that allow AI agents to navigate complex regulatory relationships on behalf of our rapidly growing user base.
    • Feedback Loops: Orchestrate data pipelines to ensure model predictions and behavioral signals flow back into the product UI, creating a virtuous cycle of user value.
    Analytics Enablement & Collaboration
    • Self-Service Sovereignty: Partner with our Analytics team to minimize ad-hoc data requests. You will build the frameworks that allow analysts to self-serve without reinventing logic.
    • Observability by Default: Partner with our application teams to ensure that every new feature is instrumented for deep product analytics, system health, and data mining from day one.
    • Cross-Functional Synergy: Bridge the gap between engineering and product / analytics, ensuring our technical architecture seamlessly supports the product and business needs before we have them.
    Governance, Security, & Ethics
    • Security: Ensure the absolute protection of user PII and financial data and partner information, upholding the core mandate of security.
    • Compliance: Implement and maintain industry-leading frameworks (e.g., SOC 2 Type II, FedRAMP) to meet the highest security standards for partner and government due diligence.
    • Ethical and Fair Practices: Establish and enforce ethical guidelines for data collection, storage, and AI model usage (e.g., fairness, bias detection, and transparency) to ensure all decisions fairly serve the financial well-being of our users, aligning with our B-Corp mission for financial justice.
    • Data Stewardship & Ownership: Implement automated data discovery, classification, and lineage tools to codify data ownership, establish clear metadata processes, and ensure data is well-understood and governed across the entire organization.
You Might Be a Fit If You Have
  • The Foundation: 8+ years of experience in Data Engineering or Platform Architecture, ideally within high-growth Fintech or highly regulated environments.
  • Architectural Vision: Proven track record of moving an organization from ad-hoc reporting to a structured "Data Platform" mindset.
  • AI/ML Fluency: Deep experience with the data-side of LLM orchestration, including RAG architectures, Vector Databases (Pinecone, Weaviate), feature stores, and more.
  • Technical Mastery: Expert knowledge of Snowflake, Python, dbt, and Airflow. Experience with Kubernetes-based data stacks and other ETL/reverse-ETL tools.
  • Systems Thinker: You don't just solve tickets; you solve bottlenecks. You think in terms of feedback loops, unit economics, and scalable patterns.
  • B-Corp Spirit: A commitment to using data as a force for good. You believe clean data is a prerequisite for financial justice.
The Details
Compensation: $200-220k base + equity + comprehensive benefits (for FTE roles only)
Work Setup: Remote (U.S.)
Status: Full-time
Work Environment
Summer is a remote-first company with team members across the U.S. While we work asynchronously and meet virtually each week, we stay connected through two annual off sites and a collaborative office in NYC's Financial District!
Why Join Summer
Summer is on a mission to help borrowers navigate and eliminate student debt. We partner with financial institutions, employers, and government agencies to provide digital tools that simplify the loan experience for millions of borrowers.
We're a mission-driven team that believes in solving real problems with real empathy. We care deeply about our users and each other. If you're excited about building technology that changes lives, we'd love to meet you.
How We Support You
  • Equity grant to share in Summer's success
  • 100% employee-covered medical, dental, and vision insurance
  • 401(k) plan with 3% match, fully vested day one
  • Home office setup reimbursement
  • Monthly lunch credits
  • Direct contributions toward your student loans
  • Up to 11 paid holidays + flexible PTO
  • Paid leave for family, health, or personal needs
  • Annual in-person events including Summer Camp and Summer Wonderland
  • And more!
Equal Opportunity
Summer provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination or harassment of any kind. This policy applies to all employment terms and conditions, including recruiting, hiring, promotion, termination, compensation, and training.

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