Data Analyst

Our client, a leading technology company, is seeking a Data Analyst II to support merchant onboarding, data integrations, and ETL pipeline operations.

Apply today for consideration!

• Title: Data Analyst II
• Location: Remote (U.S.)
• Duration: ~4.5 months (08/17/2026 – 12/31/2026)
• Pay Range: $30-35/hr. on W2

• Job Description
• Support merchant onboarding initiatives by building, maintaining, and optimizing data pipelines that power critical business operations. This role focuses on transforming, validating, and troubleshooting merchant data feeds to ensure accurate ingestion into downstream systems. You'll partner closely with Technical Account Managers, Product, and Engineering teams to implement scalable data integration solutions while maintaining high standards for data quality and operational reliability.
• This role is ideal for a Data Analyst or ETL Developer with strong SQL skills, experience working with structured and semi-structured data, and a passion for solving complex data challenges in a collaborative, fast-paced environment.

• Job Functions
• Build, maintain, and troubleshoot ETL pipelines supporting merchant onboarding and third-party integrations.
• Analyze, transform, and standardize merchant data from JSON, XML, CSV, TXT, and other flat-file formats.
• Develop and maintain SQL transformations using Databricks (Spark SQL preferred).
• Create and maintain data mapping specifications, transformation logic, and validation rules.
• Validate data quality, completeness, and accuracy throughout the ingestion process.
• Investigate production data issues, perform root cause analysis, and implement corrective actions.
• Collaborate with Technical Account Managers, Product Managers, and Engineering teams to onboard new merchants successfully.
• Support multiple merchant implementations simultaneously while meeting project timelines.
• Document data mappings, transformation logic, operational procedures, and technical specifications.
• Identify opportunities to automate manual processes and improve pipeline performance and reliability.

• Skills/Abilities
• Strong SQL development and data analysis skills.
• Experience building and maintaining ETL/data integration pipelines.
• Knowledge of data transformation, schema mapping, and data validation best practices.
• Experience working with structured and semi-structured data formats, including JSON, XML, CSV, and flat files.
• Strong analytical, troubleshooting, and root cause analysis skills.
• Ability to interpret technical documentation and data specifications.
• Excellent communication and cross-functional collaboration skills.
• Strong organizational skills with the ability to manage multiple concurrent projects.
• Detail-oriented with a focus on data quality and operational excellence.

Experience

• 2+ years of experience in Data Engineering, ETL Development, Data Integration, or a related field.
• Strong SQL experience; Databricks and Spark SQL experience preferred.
• Experience building, maintaining, and troubleshooting production ETL pipelines.
• Experience validating and transforming large datasets.
• Experience supporting third-party or merchant data integrations preferred.
• Experience with flat-file integrations is a plus.
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or a related field preferred.
• Experience in cloud-based data platforms and modern data engineering environments is a plus.
• ______________________________________________________________________________________

Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), a 401(k)-retirement savings, life & disability insurance, an employee assistance program, identity theft protection, legal support, auto and home insurance, pet insurance, and employee discounts with some preferred vendors.

• Applicant Privacy Disclosure
• We collect personal information from applicants during the recruiting, pre-offer, and offer process.
• During the recruiting, pre-offer process and offer process, we may collect the following categories of personal information:
• Identifiers, such as name, address, and email address.
• Professional and Employment-Related Information, such as resume, work history, education, and qualifications.
• Information Voluntarily Provided by You in connection with the recruiting and pre-offer process.
• Sensitive Personal Information, where legally permitted and necessary, such as Social Security number and date of birth.

• Personal information is collected and used for the following business purposes: evaluating qualifications and eligibility for employment; communication regarding the recruitment and application process; verifying eligibility for employment; and complying with applicable legal, regulatory, and contractual obligations.
• Personal information is collected and used only as necessary, and we are committed to data minimization, privacy, and providing equal employment opportunities. We are an international organization, and personal information may be accessed or processed by authorized personnel or service providers located outside the United States, subject to appropriate safeguards. We restrict use and access to personal information to authorized personnel and service providers with confidentiality and data security obligations. We maintain administrative, technical, and physical safeguards designed to protect personal information from unauthorized access, use, or disclosure.

For information about our privacy practices, please review our Privacy Policy at: https://prideglobal.com/privacy-policy

If you do not consent to the collection of such personal information, please advise us immediately in writing at [email protected]

• Equal Employment Opportunity
• [Hiring Entity Name] is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.

• Fair Chance Employment
• [Hiring Entity Name] is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

• Accommodations
• We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.

Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.