Data Engineer

Kaizen Analytix

Data Engineer supporting data conversion and migration initiatives for a leading legal services client. Responsibilities include data cleansing, validation, and automation of processes for improved data quality.

Posted 6/3/2026contractRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ETLSQL

About the role

Key responsibilities & impact

Analyze and consolidate historical workforce, FTE, and timekeeper data from multiple source systems.
Design and develop automated data conversion and transformation processes to reduce manual effort and improve data quality.
Extract data from APIs, databases, flat files, and other structured and unstructured sources.
Perform data cleansing, standardization, validation, and enrichment activities to ensure data integrity.
Transform and map source data to align with target system requirements and reporting standards.
Produce standardized output files and datasets that conform to the target application's native data model.
Partner with business stakeholders to gather requirements and translate business needs into technical data solutions.
Conduct data quality assessments, reconciliation, and validation activities throughout the migration lifecycle.
Support testing, dry-run conversions, and production migration activities.
Troubleshoot data issues and implement corrective actions as needed.
Document data mappings, transformation rules, conversion logic, and validation procedures.
Collaborate with project managers, business analysts, and client stakeholders to ensure successful project delivery.

Requirements

What you’ll need

5+ years of professional experience in Data Engineering, ETL Development, Data Integration, or related fields.
Strong experience extracting, transforming, and loading data from multiple data sources.
Experience working with relational databases and writing complex SQL queries.
Proven ability to cleanse, standardize, and reconcile large datasets.
Experience developing automated data transformation and migration solutions.
Strong analytical and problem-solving skills.
Ability to work independently with minimal supervision.
Excellent verbal and written communication skills.
Experience working directly with business stakeholders and translating business requirements into technical solutions.
Strong understanding of data quality, governance, and validation best practices.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data EngineeringETL DevelopmentData IntegrationSQLData CleansingData StandardizationData ValidationData TransformationData MigrationAPI Extraction

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaborationIndependenceStakeholder EngagementRequirements GatheringDocumentationAttention to DetailProject Delivery