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It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Dare to bring your unique perspective? At Novogradac, we value individuals who bring unique perspectives and bold ideas. If you’re eager to contribute to an inclusive, innovative environment where your personal and professional growth is encouraged and supported, we invite you to explore this exciting opportunity with us. Position Summary The Data Engineer is responsible for building, operating, and optimizing the organization’s analytical data pipelines and platforms. This position develops reliable, scalable, and performant data assets to support enterprise analytics and reporting. The Data Engineer designs, develops, maintains, and optimizes ETL/ELT pipelines, data warehouse structures, and semantic models through the use of SQL, Python, and related technologies. The firm has one available position in either Austin, TX, Bellevue, WA, Long Beach, CA, Portland, OR, Dover, OH, Atlanta, GA, Cleveland, OH, or Fort Lauderdale, FL. Your Contributions And Responsibilities Data Pipeline & Platform Engineering Design, develop, and maintain ETL/ELT pipelines from source systems into analytical platforms, writing production-grade SQL and Python. Implement transformations, validations, and aggregations to support analytics and reporting Ensure data pipelines are resilient, observable, and performant. Monitor, troubleshoot, and remediate data pipeline failures and performance issues. Database Performance & Optimization Diagnose and resolve slow-running queries and optimize SQL syntax for efficiency and readability. Design, implement, and tune indexing strategies to improve query performance. Implement referential integrity constraints (e.g., foreign keys) where appropriate to the platform and data model, complementing pipeline-based data-quality checks. Assist with memory, resource, and configuration tuning of data platforms in coordination with IT. Data Warehouse & Analytics Enablement Implement and optimize data warehouse schemas and structures in accordance with the organization’s architectural direction. Implement, maintain, and optimize data across the layers, and provide practical feedback to inform layer design and promotion logic. Build, optimize, and maintain physical semantic models (e.g., Power BI/Fabric star schemas, Direct Lake datasets) that implement the business definitions, metrics, and relationships specified. Partner with others to operationalize architectural designs and analytical data models. Support BI Analysts by ensuring data availability, freshness, and usability. Manage dependencies and sequencing across multiple source systems. Quality, Reliability, & Operations Implement data quality checks, reconciliation controls, and error handling. Ensure data processing adheres to security, privacy, and access requirements. Maintain documentation for pipelines, data flows, semantic models, and operational procedures. Participate in incident response and root-cause analysis for data issues. Collaboration & Continuous Improvement Collaborate with systems product managers to understand system changes affecting data. Partner with IT on infrastructure, access, and platform considerations. Evaluate and recommend improvements to data tooling, patterns, and performance. Contribute to engineering best practices, coding standards, and reusable components. Your Background And Skills Strong knowledge of data engineering principles, data integration processes, and analytical data warehouse concepts. Knowledge of data quality, data governance, security, and privacy practices applicable to analytical data environments. Strong problem-solving skills and attention to operational detail, including troubleshooting and root-cause analysis. Ability to monitor, troubleshoot, and optimize data pipelines, databases, and related data platforms to support operational reliability and performance. Ability to evaluate processes and recommend improvements that enhance scalability, efficiency, and data reliability. Strong verbal and written communication skills with the ability to effectively communicate technical information to technical and non-technical audiences. Ability to collaborate effectively with business intelligence, systems, and IT teams. Ability to effectively manage and prioritize a fast-paced workload while meeting deadlines and adapting to changing business needs. Ability to work independently and as part of a team, maintaining a collaborative and proactive approach to assigned responsibilities. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems Management, Data Science, Data Analytics, or a related field and at least 3 years of experience in data engineering or analytics engineering roles, including hands-on development of ETL/ELT pipelines. Demonstrated proficiency in SQL and Python, as well as experience with cloud data platforms and modern analytics tooling, is required. Preferred Qualifications Experience with Microsoft Azure data services (e.g. Azure Data Factory, Databricks, Synapse/Fabric, Snowflake). Experience implementing medallion architectures and building semantic models in Power BI/Microsoft Fabric, including star schemas and Direct Lake. Familiarity with DevOps or CI/CD practices for data pipelines. Exposure to BI tools such as Power BI. Azure certifications (e.g., Azure Data Engineer Associate, Fabric Analytics Engineer Associate) are a plus. Why work with us? Novogradac is committed to fostering a welcoming workplace where all employees feel valued and empowered to grow. We believe in offering a supportive, balanced work environment that encourages professional growth and work-life integration. We Are Proud To Offer Increased number of paid holidays per year Competitive salaries with continuous review of market conditions Flexible working hours and work arrangements Remote and hybrid opportunities Inclusive workplace, providing strong professional growth and development opportunities The Benefits Of Joining Our Team Strong growth opportunities Competitive benefits package 401(k) package with firm profit-sharing Strong emphasis on quality work-life integration Dress for your day policy Resources of a national firm Opportunities to engage with our active Employee Resource Groups (ERGs), affinity groups, and advance your career within a supportive, inclusive environment Compensation: $86,000-$116,000 depending on experience. More is possible if experience dictates. Don't meet every single qualification? After reviewing this job posting, are you hesitating to apply because you don’t meet all the listed requirements? At Novogradac, we are dedicated to building a workplace supported by unique perspectives and experiences, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may still be the right candidate for this or one of our other roles. Get to know us better! We’re Novogradac, a national certified public accounting and consulting firm headquartered in San Francisco. Founded in 1989, the allied group of Novogradac companies has grown to more than 900 employees and partners with more than 25 offices throughout the country. Novogradac is one of the nation’s top 40 certified public accounting and consulting firms and is a recognized leader in real estate and community development. Novogradac provides publicly and privately held national enterprises with a full spectrum of audit, tax, valuation, expert witness and litigation support, property compliance and general consulting services and works extensively in the affordable housing, community development, historic preservation and renewable energy fields. Ready to learn more? To be considered for th
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.