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Sql Data Developer Jobs (NOW HIRING)

Data Developer - L2

Jersey City, NJ · On-site

$110K - $125K/yr

Verisk is seeking a Level 2 Data Developer to contribute to the design, development, and operation ... Write SQL transformations and data models that support analytics, reporting, and downstream ...

Verisk is seeking a Level 2 Data Developer to contribute to the design, development, and operation ... Write SQL transformations and data models that support analytics, reporting, and downstream ...

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... SQL Data Analyst - ONLY LOCALS Duration - 6 months + Location - Seattle, WA - Local candidates only ...

ETL/Data Developer

Malvern, PA · On-site

$50 - $65.50/hr

Position : ETL/Data Developer Location : Malvern, PA Hybrid (3 days a week onsite & must be willing ... Athena SQL (Data Analysis & Transformation) Data Testing & Deployment Proof of Concept (POC ...

Strong SQL * AWS experience (EMR, Lambda, Glue, Step Functions) * Experience working with large data sets (billions of records per day) * Write and review code * Python scripting (PySpark, control ...

New

SQL Developer

Fort Lauderdale, FL · On-site

$43.25 - $59.25/hr

SQL Developer, Fort Lauderdale, FL We are looking for a SQL Developer for an exciting opportunity ... We help companies that are looking to hire SQL Data Analysts for jobs in Fort Lauderdale, Florida ...

Data Engineer

Memphis, TN · On-site

$102.20K - $122.70K/yr

Proficient in programming languages like Spark (with either Python or Scala), SQL Experience with ... Good understanding of data engineering principles, data modelling, data warehousing

Data Developer The Data Developer works within the ETL and Operations team to build high quality ... Hadoop/Hive experience * Strong SQL * AWS experience (EMR, Lambda, Glue, Step Functions)

New

Access Point is looking for an enthusiastic SQL/Data warehouse developer to join our data analytics and reporting team. They will be responsible for ensuring our data is in sync between systems, up ...

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Sql Data Developer information

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How much do sql data developer jobs pay per hour?

As of May 28, 2026, the average hourly pay for sql data developer in the United States is $52.60, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $59.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an SQL Data Developer, and why are they important?

To thrive as an SQL Data Developer, you need a solid background in database management, SQL programming, data modeling, and a relevant degree in computer science or a related field. Expertise with relational database systems like Microsoft SQL Server, Oracle, or MySQL, as well as familiarity with ETL tools and certifications such as Microsoft Certified: Azure Data Engineer Associate, are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with stakeholders and address complex data needs. These skills ensure efficient data management, robust database solutions, and support for organizational decision-making.

What are some common challenges faced by SQL Data Developers when working with large datasets?

SQL Data Developers often encounter challenges such as optimizing query performance and managing slow-running queries when handling large datasets. Ensuring data integrity and accuracy during complex data migrations or transformations can also be demanding. Collaboration with database administrators and analysts is crucial to address indexing, partitioning, and other performance tuning strategies. Staying current with best practices and regularly reviewing execution plans can help mitigate these challenges and ensure efficient data operations.

What does an SQL Data Developer do?

An SQL Data Developer is responsible for designing, developing, and maintaining databases using SQL (Structured Query Language). They create and optimize queries, write stored procedures, and ensure data integrity and security within an organization’s databases. Their work often involves collaborating with software engineers, data analysts, and business teams to support application development and reporting needs. SQL Data Developers play a key role in managing large volumes of data efficiently and ensuring quick access for users and applications.

What is the difference between Sql Data Developer vs Data Analyst?

AspectSql Data DeveloperData Analyst
Primary RoleDesigns, develops, and maintains SQL databases and queriesAnalyzes data to identify trends and generate reports
Skills & CertificationsSQL, database management, data modeling, certifications like Microsoft Certified: Data Analyst AssociateSQL, data visualization tools, statistical analysis, certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDatabase environments, IT teams, software development projectsBusiness units, marketing, finance, reporting teams

While both roles require SQL skills and data knowledge, Sql Data Developers focus on building and maintaining databases, whereas Data Analysts interpret data to support decision-making. The roles often collaborate but serve different functions within data management and analysis.

More about Sql Data Developer jobs
Infographic showing various Sql Data Developer job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 6% Part Time, and 22% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $109,407 per year, or $52.6 per hour.
Data Developer - L2

Data Developer - L2

Verisk

Jersey City, NJ • On-site

$110K - $125K/yr

Full-time

Medical, Retirement, PTO

Posted 2 days ago


Verisk rating

7.7

Company rating: 7.7 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

77th of 204 rated it services


Job description

Job Description
Verisk is seeking a Level 2 Data Developer to contribute to the design, development, and operation of data pipelines and data services that support next-generation products for the life and annuity insurance market. At this level, you are a developing individual contributor who can deliver well-defined data solutions with guidance, collaborate effectively with Product Owners, and senior engineers, and continue to build strong foundations in data engineering best practices. You are gaining experience working in production systems and supporting data pipelines, datasets, and operational processes. This role is office-based from either our Holmdel, NJ location or our Jersey City, NJ global headquarters, which both have a flexible hybrid work model.
Responsibilities
Data Engineering & Development
  • Develop and maintain data pipelines using cloud-native data platforms and services (e.g., AWS-based architectures, Snowflake, Databricks) following established patterns and team standards.
  • Write SQL transformations and data models that support analytics, reporting, and downstream applications.
  • Implement data ingestion, transformation, and enrichment logic from multiple data sources with guidance.
  • Contribute to building and supporting data APIs or data services that expose curated datasets.
  • Participate in technical design discussions and implement solutions under the direction of senior team members.
  • Contribute to the design and implementation of OLAP-friendly datasets (e.g., dimensional models, star/snowflake schemas) to support analytics and reporting.
  • Assist in building and maintaining curated analytical layers / data marts optimized for BI and downstream consumption.

Data Quality, Reliability & Operations
  • Support data quality for assigned pipelines, including validation, reconciliation, and monitoring activities.
  • Assist in identifying performance, scalability, and reliability issues and contribute to fixes.
  • Troubleshoot and resolve production data issues with guidance and escalation when needed.
  • Contribute to operational readiness through logging, alerting, and documentation.

Collaboration & Agile Delivery
  • Work closely with Product Owners and team members to understand requirements and acceptance criteria.
  • Translate user stories into technical tasks and implementation steps with support.
  • Collaborate with to productionize features, datasets, and model inputs.
  • Actively participate in sprint planning, estimation, standups, and retrospectives.

Security, Compliance & Governance
  • Follow established data governance, privacy, and regulatory standards in all data solutions.
  • Handle sensitive insurance data according to compliance guidelines and best practices.
  • Contribute to documentation related to data access, lineage, and standards.

Qualifications
Experience
  • 2-4 years of experience as a Data Developer, Data Engineer, or Software Engineer with a data focus.
  • Experience developing or supporting production data pipelines.
  • Experience working in Agile, product-oriented teams.

Technical Skills
  • Proficiency in SQL, including joins, aggregations, and moderately complex transformations.
  • Experience with at least one data-oriented programming language (e.g., Python, .Net).
  • Familiarity with ETL/ELT frameworks and modern data architectures.
  • Exposure to building or consuming APIs and data services
  • Basic understanding of data modeling concepts and trade-offs.

Data & Platform Knowledge
  • Experience working with cloud-based data platforms, data lakes, or data warehouses e.g., (BigQuery, Amazon Redshift, Snowflake, Databricks).
  • Familiarity with version control and basic CI/CD concepts.
  • Awareness of analytics and machine learning data needs (e.g., data consistency and freshness).

Preferred Qualifications
  • Exposure to insurance or financial services data, especially life and annuity domains.
  • Experience supporting
  • Familiarity with data governance or metadata concepts.
  • Exposure to data visualization or BI tools - Sigma, Tableau, PowerBI, ThoughtSpot

Level Expectations (L2)
At this level, you are expected to:
  • Deliver well-defined data pipelines or components with guidance.
  • Apply established patterns, tools, and standards effectively.
  • Grow technical depth in SQL, data modeling, and data pipeline development.
  • Balance development speed with code quality and reliability.
  • Be a collaborative and dependable team member while continuing to develop independence.

Why Join Us?
This role offers the opportunity to grow as a data engineer while contributing to data-driven products for the life insurance industry within a mature, data-first organization. You'll gain hands-on experience with real production data, learn from experienced engineers, and build a strong foundation for progression into senior and lead data roles.
#LI-LM03
#LI-Hybrid
About Us
For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture.
We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
Verisk Businesses
Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property Estimating Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Catastrophe and Risk Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
Marketing Solutions - delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
Verisk Analytics is an equal opportunity employer.
Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
https://www.verisk.com/company/careers/
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
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About Verisk

Sourced by ZipRecruiter

Verisk is a top-tier data analytics organization based in Jersey City, NJ, US, known for its deep industry knowledge and analytical prowess. Operating in the global risk assessment industry, it provides predictive analytics and decision support solutions to a wide range of industries like insurance, natural resources, financial services, government, and health care. Founded in 1971, Verisk operates on a mission of helping customers make superior decisions to minimize risk. With an organic growth strategy, Verisk offers a diverse portfolio of solutions, like risk assessment and decision analytics, that help businesses understand and manage their risks.

Industry

Library and information services

Company size

5,001 - 10,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

1971

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