Data Validation Developer Jobs

1 job found

2d ago

Data Engineer

Capgemini Hanover, NH

Hanover, NH

2d ago

$48 - $75/hr Contract Marketing Application Support Business Systems

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Job Description

Capgemini is hiring a Data Engineer for a contract role based in Hanover, NH (onsite). In this position, you will design, develop, and support enterprise data solutions, with a focus on scalable ETL/ELT pipelines that enable reliable data conversion and operational analytics across Salesforce and partner systems.

What you’ll do

Design, build, test, and support scalable ETL/ELT pipelines for data conversion and future Connected onboarding analytics.
Create reusable utilities to support source-to-target transformation, data cleansing, validation, reconciliation, exception handling, and controlled data loads.
Develop data utilities and curated datasets that can be consumed by Connected and related capabilities.
Write, optimize, and maintain advanced SQL, Python, and data-processing code across enterprise data platforms.
Support conversion rehearsals, cutover, hypercare, defect analysis, and post-production reconciliation.
Analyze Salesforce object data, including schema, relationships, record lifecycle, and data dependencies to support conversion, reporting, and production issue analysis.
Partner with Salesforce Administrators and Product Owners to build advanced Salesforce reports and custom report types for operational and leadership metrics.
Trace failures across Salesforce Standard and Custom objects and processes using Salesforce data knowledge.
Assess downstream impact of data and schema changes, then translate findings into data requirements, controls, and reporting solutions.
Analyze recurring data failure patterns and connect Salesforce failures with Middle and Back Office data to identify root causes, trends, and business impact.
Build Tableau dashboards, scorecards, and analytical datasets for IS leadership and business stakeholders.
Develop proactive alerts, monitoring reports, data-quality controls, reconciliation views, and exception reporting.
Quantify impacted records, users, transactions, customers, and business processes to support defect triage and data-driven prioritization.
Monitor pipeline and data-product performance, troubleshoot production issues, and support data-delivery service levels.
Collaborate across architects, Product Owners, IS teams, business analysts, data teams, integration teams, Salesforce Administrators, and reporting teams to deliver end-to-end solutions.
Develop and support cloud data warehouse and data lake solutions using dimensional modeling and data warehousing best practices.
Conduct code reviews and contribute to CI/CD, version control, testing, deployment, documentation, and engineering standards.
Ensure solutions align with enterprise data governance, security, privacy, lineage, and quality standards.
Participate in Agile delivery, continuous improvement, and knowledge-sharing, including mentoring junior team members as appropriate.

Minimum qualifications

5+ years designing and developing enterprise data solutions, including production ETL/ELT pipelines and large-scale data integration.
Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field, or an equivalent combination of education and experience.
Hands-on experience with Salesforce data, including standard and custom objects, object relationships, data extraction, reporting, and schema-level analysis.
Strong skills in SQL development, data analysis, and query optimization.
Experience with Snowflake or a comparable modern cloud data platform.
Experience with Matillion or similar cloud-based integration and ELT technologies.
Experience with Python or another modern programming language for automation, data processing, and reconciliation.
Experience building operational reports, analytical datasets, dashboards, monitoring, or alerting solutions.
Experience partnering with Product, application, technical, and business stakeholders in an Agile delivery environment.

Technologies

Snowflake, Salesforce, SQL, APIs
ETL/ELT, Matillion
DevOps & CI/CD, Git
Tableau, Python
Data validation, data warehousing, data lakes, dimensional modeling

Contract details and location

Location: Hanover, NH, United States (onsite)
Job type: contract
Compensation: USD 48 - 75 per hourly

Benefits

Medical, dental, vision and retirement benefits

Preferred qualifications

Experience supporting Salesforce-based enterprise applications, data migrations, conversions, or production operations.
Experience creating advanced Salesforce reports and collaborating with Salesforce Administrators on custom report types.
Experience with Tableau dashboard development, data-source design, and leadership reporting.
Experience integrating Salesforce data with Middle Office, Back Office, ERP, finance, onboarding, or operational platforms.
Snowflake architecture and performance tuning; familiarity with Matillion, dbt, Informatica, or comparable ELT platforms.
Knowledge of Salesforce APIs, Bulk API, data-loader patterns, change-data-capture concepts, or enterprise integration patterns.
Experience implementing automated data-quality checks, reconciliation frameworks, proactive monitoring, and alerting.
Familiarity with cloud data services, AI/ML data engineering concepts, and enterprise data governance practices.
Foundational knowledge of Salesforce Data Cloud, including data ingestion, harmonization, identity resolution, and data activation concepts.

Core competencies

Critical thinking and structured problem solving
Clear communication with technical and business audiences
Cross-functional relationship building
Accountability and ownership
Results orientation and delivery discipline
Ability to manage complexity and ambiguity
Situational adaptability and continuous improvement mindset

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