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WA · CA · TX · IL · NY · GA · Redmond, WA · Mountain View, CA · Austin, TX · Houston, TX · Chicago, IL · Atlanta, GA · Redmond · Mountain View · Austin · Houston · Chicago · New York · Atlanta
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Senior Data Engineer

Womble · Boston, MA, United States · Albany, NY, United States · New York, NY, United States · Cleveland, OH, United States · Washington, DC, United States · Mc Lean, VA, United States · Wilmington, DE, United States · Baltimore, MD, United States · Charlottesville, VA, United States · Raleigh, NC, United States · Durham, NC, United States · Winston-Salem, NC, United States · Charlotte, NC, United States · Greenville, SC, United States · Columbia, SC, United States · Charleston, SC, United States · Jacksonville, FL, United States · Atlanta, GA, United States · Houston, TX, United States · Denver, CO, United States · Colorado Springs, CO, United States · Reno, NV, United States · Las Vegas, NV, United States · San Francisco, CA, United States · Phoenix, AZ, United States · Tucson, AZ, United States · San Diego, CA, United States · Walnut Creek, CA, United States · Santa Clara, CA, United States · Glendale, CA, United States · Irvine, CA, United States

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Womble

Senior Data Engineer

Boston, MA, United States
Albany, NY, United States
New York, NY, United States
Cleveland, OH, United States
Washington, DC, United States
Mc Lean, VA, United States
Wilmington, DE, United States
Baltimore, MD, United States
Charlottesville, VA, United States
Raleigh, NC, United States
Durham, NC, United States
Winston-Salem, NC, United States
Charlotte, NC, United States
Greenville, SC, United States
Columbia, SC, United States
Charleston, SC, United States
Jacksonville, FL, United States
Atlanta, GA, United States
Houston, TX, United States
Denver, CO, United States
Colorado Springs, CO, United States
Reno, NV, United States
Las Vegas, NV, United States
San Francisco, CA, United States
Phoenix, AZ, United States
Tucson, AZ, United States
San Diego, CA, United States
Walnut Creek, CA, United States
Santa Clara, CA, United States
Glendale, CA, United States
Irvine, CA, United States

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Job details

Experience: COMPENSATION: The estimated salary range for 5 - 10 years of experience is approximately $117,500 - $151,500.
Posting language: English
Posted: Nov 2, 2026

Original job description

Womble Bond Dickinson (US) LLP is seeking a remote Senior Data Engineer to their US team. The Senior Data Engineer is the Firm’s hands-on technical owner for its enterprise internal data platform as it moves from a long-established SQL Server data warehouse and reporting environment to Microsoft Fabric. The role keeps the current environment reliable through the transition, works alongside the Firm’s implementation partner to take ownership of the new platform, and puts in place the engineering discipline that a platform supporting financial, compensation, and performance reporting requires. Over time, the role leads data engineering for changes to the Firm’s core business system.

RESPONSIBILITIES:

Operate the Firm’s Microsoft Fabric data platform day to day: monitor nightly orchestration and refreshes, triage and resolve failures, restart processing from the point of failure, track capacity use and cost, confirm data is complete before business users rely on it, and keep business owners informed when issues arise.
Audit and reconcile financial data throughout development: trace accounting transaction flows (time entry, billing, cash receipts, and general ledger postings) from source systems through the legacy warehouse and Fabric; build and run reconciliation and data quality checks (row counts, key coverage, and financial totals); investigate, explain, and document inconsistencies; and protect exact-output requirements for compensation and financial close reporting.
Work alongside the Firm’s implementation partner through the remaining migration phases: pair on converting SQL Server stored-procedure logic to Fabric notebooks (PySpark and Spark SQL), review converted logic for fidelity to existing business rules, and take ownership of each component as knowledge transfer is completed.
Design, build, and maintain ingestion and transformation pipelines across the bronze, silver, and gold layers, including database mirroring and metadata-driven copy pipelines from on-premises SQL Server, slowly changing dimensions, and incremental loading for the largest fact tables once migrated outputs are reconciled.
Implement and maintain data-level security, including Microsoft Entra group-based workspace and item permissions, OneLake security, row- and object-level security, column-level security and data masking, and Purview sensitivity labels, so that compensation, payroll, HR, personal, and client billing data is available only to authorized users, whatever tool they use to reach it.
Maintain Direct Lake semantic models with the BI team (relationships, DAX measures, calculation groups, security roles, and Excel connectivity) and support the move of reporting from SSAS and SSRS to Power BI.
Apply disciplined engineering practices to all data platform code: Git source control and peer review in Azure DevOps, CI/CD promotion from development to test to production, automated testing, secrets management, and current documentation of data models, source-to-target mappings, dependencies, and runbooks.
Prepare curated, documented, and secured data and semantic models for analytics and AI-assisted access (for example, Microsoft Copilot and Fabric data agents), and support the Firm’s AI and automation initiatives with governed access to that data.
Support the legacy SQL Server environment (staging and warehouse databases, SQL Agent jobs, replication, SSAS tabular models, and SSRS reports) while it remains in service; log and assess changes for their effect on the Fabric platform; re-point downstream feeds; and retire components once their replacements are signed off.
Maintain data feeds from the Firm’s business systems (financial management, CRM, HR and payroll, and others) and lead the data engineering work for planned changes to core business systems, including data mapping, conversion validation, and continuity of historical reporting.

REQUIREMENTS:

Bachelor’s degree in computer science, information systems, engineering, mathematics, accounting, or a related field, or equivalent practical experience.
5+ years of hands-on data engineering or data warehouse development, including production ownership of ETL/ELT pipelines and a dimensional (Kimball) data warehouse.
Advanced T-SQL and SQL Server skills: reading and refactoring complex stored procedures, query and index tuning, SQL Agent, and working knowledge of replication and change data capture.
Hands-on experience with Microsoft Fabric (lakehouses and OneLake, data pipelines, notebooks, and mirroring or comparable ingestion) and medallion architecture; strong Azure Databricks or Synapse Spark experience will be considered.
Proficiency in PySpark and Spark SQL, including Delta tables.
Working knowledge of accounting, preferably cash-basis accounting in a professional services environment.
Ability to follow accounting transaction flows (for example, from time entry through billing, cash receipts, and general ledger posting) and to audit and reconcile financial inconsistencies during development, resolving variances with business owners.
Practical experience protecting sensitive data through role-based access, row- and object-level security, and least-privilege design.
Working knowledge of Power BI semantic models and DAX.
Experience with Git and Azure DevOps (or GitHub), including branching, pull requests, and CI/CD deployment across environments.
Clear written and verbal communication, including the ability to explain technical tradeoffs to finance and practice leaders and to write documentation others can follow.
Discretion with confidential client, financial, and personnel information, and the ability to work independently and own outcomes.

Preferred:

Law firm or professional services experience, including familiarity with time and billing, WIP, accounts receivable, collections, realization, and timekeeper credit.
Experience with Aderant, Elite 3E, or other legal financial management systems, and with CRM (Salesforce or Microsoft Dynamics 365) and HR or payroll data.
Experience migrating SSAS tabular models and SSRS reports to Power BI, Direct Lake semantic models, and paginated reports.
Experience with OneLake security, Microsoft Entra ID, Microsoft Purview (sensitivity labels and lineage), and Fabric capacity administration.
Experience with Fabric deployment tooling (for example, fabric-CI/CD or deployment pipelines), TMDL, and Python testing frameworks.
Experience supporting a financial system implementation or large data conversion, including API-based ingestion from cloud applications.
Regular use of AI-assisted development tools (for example, GitHub Copilot or Claude Code) with disciplined code review and data handling.

COMPENSATION: The estimated salary range for 5 - 10 years of experience is approximately $117,500 - $151,500. Please note that salary may be higher or lower depending upon location and years of experience.

BENEFITS: Medical Insurance, Dental Insurance, Vision Insurance, Health Savings Account, Flexible Spending Accounts, Life insurance, Disability Insurance, Paid Parental Leave, 401(k) Plan, Paid Days Off/Vacation, Firm Paid Holidays.

Colorado candidates are not required to submit age-related information and may redact any personally identifiable information on their application materials including but are not limited to age, date of birth, and dates of attendance and date of graduation for educational institutions. This position does not have a fixed deadline. The posting will remain open until the position is filled and all necessary due diligence has been completed for the selected candidate.

Womble Bond Dickinson (US) LLP will consider all qualified applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable federal, state, and local laws, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the San Francisco Fair Chance Ordinance.

Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to firm policies, exercise sound judgment, effectively work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations.

This position is subject to export control laws.

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More about this job

Skills

Data engineering
General ledger
Statistical quality control
Reporting
Microsoft SQL Server
PySpark
Apache Spark
SQL
Payroll
Microsoft Excel
Microsoft Power BI
Git
Microsoft Azure
DevOps
CI/CD
Test automation
Documentation
Data models
Financial management
Computer science
Data warehouse
Databricks
GitHub
Communication skills
Work independently
Accounts receivable
Salesforce
Dynamics 365
Python

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