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Data Reconciliation Jobs (NOW HIRING)

TMS

Enterprise Data Modeler

Richmond, VA · On-site

$54.25 - $70.25/hr

... for data reconciliation and deduplication Enforce data models and naming standards across deliverables. * Establish processes for governing the identification, collection, and use of corporate ...

Elite WorkForce Inc

Proficient in data reconciliation, validation, and testing within staging environments. * Experience in government tax/revenue operations and associated challenges. * Familiarity with governance ...

Rendr

Compliance Data Architect

New York, NY

$120K - $150K/yr

Proficiency in analytical tools, machine learning, data visualization, data reconciliation, and data management including SQL and Microsoft Power BI. * Excellent problem-solving skills and attention ...

Kasmo Global

Solution/Data Architect

Plano, TX · On-site

Implement predefined data quality checks and assist with data reconciliation processes. * Participate in cross-functional team meetings to gather requirements and report progress. * Support testing ...

Rethink

Reconciliation Specialist

Indianapolis, IN · On-site +1

We continue to focus on the future of transforming behavioral health through data science ... Job Summary The Reconciliation Specialist is responsible for supporting our billing teams by ...

Global Pharma Tek

Data Governance Analyst

Richmond, VA · On-site

Provide support to Data Governance Stewards during data profiling activities * Assist in data reconciliation and validation checks across various systems * Come up with initial proof of concepts for ...

Perfict Global, Inc.

Enterprise Data Modeler

Richmond, VA · On-site

$54.25 - $70.25/hr

Implement business rules for data reconciliation and deduplication. * Enforce data models and naming standards across deliverables. * Establish processes for governing the identification, collection ...

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How much do data reconciliation jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for data reconciliation in the United States is $21.84, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $24.62 per hour, depending on experience, location, and employer.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Manager, Director of Data Analytics, or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, along with extensive experience and certifications.

What is a data reconciliation?

Data reconciliation is the process used by data reconciliation specialists to compare and adjust data from different sources to ensure accuracy and consistency. It often involves using tools like spreadsheets or specialized software to identify discrepancies and correct errors, supporting data integrity in financial, operational, or reporting environments.

Is reconciliation a good career?

Data reconciliation is a valuable career in finance, accounting, and data management, involving comparing and matching data sets to ensure accuracy. It requires attention to detail, analytical skills, and proficiency with tools like Excel or reconciliation software. The role often offers stable employment and opportunities for advancement in various industries.

What are typical daily responsibilities of a Data Reconciliation professional?

A Data Reconciliation professional is responsible for comparing and verifying data across different systems or sources to identify and resolve discrepancies. Day-to-day tasks may include reviewing transaction records, preparing reconciliation reports, following up on unmatched items, and collaborating with internal departments such as accounting, operations, or IT for resolution. They also document reconciliation processes and may recommend improvements to increase accuracy and efficiency. This role often requires managing tight deadlines and maintaining high standards of data quality, making strong organizational skills essential.

What are the key skills and qualifications needed to thrive in the Data Reconciliation position, and why are they important?

To thrive in a Data Reconciliation role, you need strong analytical abilities, attention to detail, and a solid understanding of data management principles, often supported by a degree in finance, accounting, or a related field. Experience with reconciliation software, ERP systems, advanced Excel functions, and sometimes certifications in accounting or data analysis are highly valued. Excellent problem-solving skills, effective communication, and a collaborative attitude set top performers apart. These competencies ensure accurate data matching, quick resolution of discrepancies, and the integrity of financial or operational records.

What skills do you need to be a reconciliation specialist?

A reconciliation specialist needs strong attention to detail, analytical skills, and proficiency with accounting software and spreadsheets. Good communication skills and the ability to work under tight deadlines are also important for accurately matching and verifying financial data.

What is a Data Reconciliation job?

A Data Reconciliation job involves comparing and verifying data from different sources to ensure accuracy and consistency. Professionals in this role identify discrepancies, correct errors, and ensure that records align across databases, financial reports, or operational systems. This process is crucial in industries like finance, healthcare, and logistics to maintain data integrity and compliance with regulations. Strong analytical skills, attention to detail, and proficiency in data management tools are essential for success in this role.

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What cities are hiring for Data Reconciliation jobs? Cities with the most Data Reconciliation job openings:
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What states have the most Data Reconciliation jobs? States with the most job openings for Data Reconciliation jobs include:
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Data Reconciliation jobs near you
Infographic showing various Data Reconciliation job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $45,429 per year, or $21.8 per hour.

Founding Data Engineer (Core Data Platform)

Embedding VC

San Francisco, CA • On-site, Remote

$134K - $162K/yr

Full-time

Posted 7 days ago

Job description

🎨 About OpenArt

OpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We’re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we’re shaping that future.

🚀 Why Join OpenArt

  • Own the entire data foundation of a fast-scaling AI company — from raw data to executive metrics.

  • Build from 0 → 1 — define the architecture that powers product, finance, and company-wide decision making.

  • High visibility and impact — your work directly informs leadership, product direction, and company strategy.

  • Founder-led, fast-moving culture — high ownership, low process, high trust.

  • AI-native company — help define how data supports AI systems, agents, and long-term intelligence.

  • 7–10X revenue growth over the past 2 years — now scaling the data layer to match.

🎯 About the Role

We’re looking for a Founding Data Engineer to build and own OpenArt’s core data platform and source of truth, supporting product, finance, and leadership decision-making.

This is a 0 → 1 role focused on data reliability, modeling, and long-term scalability — not just analytics or dashboarding.

You will define how data is structured, validated, and served across the company — ensuring that key metrics are consistent, trusted, and production-grade.

You’ll work closely with the Head of Data, engineering, and leadership to establish a robust data foundation that scales with the company.

🛠 What You’ll Do

  • Design and build core data pipelines (e.g., product events, payments, internal systems → BigQuery)

  • Define and maintain the data warehouse architecture, including schema design, data modeling, and table structure

  • Establish and own the single source of truth (SOT) for product and business metrics

  • Build and maintain core data models (user, subscription, revenue, engagement, etc.)

  • Ensure data consistency across systems (product analytics, billing, internal tools)

  • Lead data reconciliation efforts (e.g., Stripe vs internal systems vs reporting)

  • Implement data quality checks, validation, and monitoring systems

  • Build reliable reporting layers used by leadership and finance (not ad hoc dashboards)

  • Establish data standards and contracts (event naming, schema governance, tracking consistency)

  • Partner with engineering to improve instrumentation and data correctness at source

  • Support downstream teams (analytics, DS) by providing clean, well-documented datasets

  • Continuously improve data reliability, performance, and cost efficiency

🧑‍💻 What We’re Looking For

Core Requirements

  • 5+ years of experience in data engineering or analytics engineering

  • Proven experience building data platforms or warehouses from 0 → 1

  • Strong SQL and Python — you write clean, production-quality data code

  • Deep expertise in data modeling, ETL/ELT design, and warehouse architecture

  • Experience with modern data stack:

    • BigQuery / Snowflake / Redshift

    • dbt or similar transformation tools

    • Workflow orchestration tools (Airflow / Prefect or similar)

  • Experience working with financial and product data (e.g., payments, subscriptions, usage data)

  • Strong understanding of data reliability, testing, and validation

  • Ability to translate business definitions into durable, consistent data models

  • High ownership — you can define and drive architecture decisions independently

  • Comfortable operating in ambiguous, fast-moving environments

Nice to Have

  • Experience building data systems for finance or revenue reporting

  • Experience with data reconciliation across multiple systems

  • Familiarity with BI tools (Metabase, Looker, etc.)

  • Experience designing semantic layers or metric definitions

  • Prior experience as an early or founding data hire

⚙ Tech Stack You’ll Work With

BigQuery, dbt (or similar), Airbyte/Fivetran (or custom pipelines), Metabase, Amplitude, Stripe, Python, SQL, GCP

💰 Compensation

  • Competitive base salary and bonus program

  • Equity — meaningful ownership in what you build

  • High autonomy, high growth environment

🌍 Work Setup

  • Bay Area preferred (hybrid allowed)

  • Visa sponsorship available

  • We’ll consider remote

Apply