Data Engineer
Legence
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Benefits offered by this job
Job summary
Legence is seeking a Data Engineer to design, develop, and maintain scalable data solutions across the organization. You will build data pipelines, optimize platforms, and ensure data quality and reliability, engaging with business stakeholders to gather requirements and deliver scalable solutions.
The role is remote with preference for candidates near Legence offices in the US, working with Azure Data Factory, Fabric, Synapse, and Python to enable analytics and reporting.
Qualifications
- 3+ years of hands-on Data Engineering experience.
- Strong SQL skills, including design and tuning.
- Experience building ETL/ELT pipelines.
- Experience with Azure Data Factory, Microsoft Fabric, Synapse, or similar.
- Proficiency with Python for data tasks.
- Solid understanding of data warehousing concepts and dimensional modeling.
- Experience integrating data from APIs and cloud services.
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines.
- Develop data models and data warehouses/lakehouses.
- Integrate data from ERP systems, APIs, cloud platforms, databases, and third-party apps.
- Establish and maintain data governance standards, lineage, and documentation.
- Collaborate with stakeholders to translate data requirements into technical solutions.
- Document designs, data flows, and operational procedures.
Skills
Education
Tools
Job description
Legence (Nasdaq: LGN) is a leading provider of engineering, consulting, installation, and maintenance services for mission-critical systems in buildings. The company specializes in designing, fabricating, and installing complex HVAC, process piping, and other mechanical, electrical, and plumbing (MEP) systems - enhancing energy efficiency, reliability, and sustainability in new and existing facilities. Legence also delivers long-term performance through strategic upgrades and holistic solutions. Serving some of the world’s most technically demanding sectors, Legence counts over 60% of the Nasdaq-100 Index among its clients.
We are seeking a highly skilled Data Engineer to design, develop, and maintain scalable data solutions that support analytics, reporting, and business operations across the organization. This hands-on role requires expertise in data architecture, data integration, cloud platforms, and modern data engineering practices.
The ideal candidate will be responsible for building robust data pipelines, optimizing data platforms, and ensuring the availability, quality, and reliability of enterprise data. This role will interact directly with business stakeholders and end users to gather requirements, support testing efforts, and deliver scalable solutions.
This position is remote, with preference given to candidates located near a Legence office location.
- Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, Python, SQL, and related technologies.
- Develop and optimize enterprise data models utilizing dimensional modeling techniques, including star and snowflake schemas.
- Implement and manage data warehouses, data lakes, and lakehouse architectures.
- Integrate data from ERP systems, APIs, cloud platforms, databases, and third-party applications.
- Build scalable frameworks for data validation, monitoring, and quality assurance.
- Establish and maintain data governance standards, documentation, and lineage.
- Configure and support cloud-based data platforms and environments.
- Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformations.
- Improve performance and reliability of data pipelines through optimization and monitoring.
- Implement security controls and access management to protect enterprise data.
- Automate data processing workflows and scheduled jobs.
- Partner with business stakeholders to understand data requirements and translate them into technical solutions.
- Support solution testing, deployment, and ongoing maintenance activities.
- Provide technical guidance and recommendations regarding data architecture and platform design.
- Document technical designs, data flows, and operational procedures.
- 3+ years of hands-on Data Engineering experience.
- Strong SQL skills, including database design, performance tuning, and query optimization.
- Experience building and maintaining ETL/ELT pipelines.
- Experience with Azure Data Factory, Microsoft Fabric, Azure Synapse Analytics, Azure SQL Database, or similar cloud-based data platforms.
- Proficiency with Python for data transformation, automation, or integration tasks.
- Solid understanding of data warehousing concepts, dimensional modeling, and data architecture best practices.
- Experience integrating data from APIs, enterprise applications, and cloud services.
- Strong understanding of data modeling techniques and relational database concepts.
- Experience performing data profiling, validation, and quality assessments.
- Ability to translate business requirements into scalable technical solutions.
- Understanding of data governance, metadata management, and data lineage principles.
- Strong problem-solving skills and a hands-on, solution-oriented mindset.
- Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
- Detail-oriented with a commitment to code quality, testing, and documentation.
- Demonstrated ability to leverage automation and AI-enabled tools to improve development efficiency.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
- Microsoft DP-203 (Azure Data Engineer Associate) certification or equivalent.
- Experience with Databricks, Spark, or PySpark.
- Familiarity with Git, Azure DevOps, and CI/CD pipelines.
- Experience working with ERP, operational, financial, or construction-related datasets.
- Experience developing data lake or lakehouse architectures.
- Knowledge of data science concepts, machine learning workflows, or predictive analytics.
- Microsoft Fabric
- SQL Server
- Python
- Databricks (preferred)
- APIs and Cloud Integration Services
- Experience designing and implementing enterprise-scale data platforms.
- Proven success building and optimizing complex ETL/ELT processes.
- Experience modernizing legacy data environments and improving data quality.
- Strong understanding of cloud-native data architectures and governance practices.
- Experience mentoring team members and promoting data engineering best practices.
- Contributions to technical communities, open-source projects, blogs, or speaking engagements.
This is a hands-on technical role requiring daily interaction with data, code, integrations, and cloud-based data platforms. The ideal candidate thrives in environments where they can build scalable solutions from the ground up and take ownership of the full data lifecycle.
$105,000-$120,000 per year. This role is also eligible for an annual performance-based bonus. Bonus eligibility and payout are determined by role, individual performance, and company performance, and are not guaranteed.
- 401(k) Plan with Company Match: Currently match contributions dollar-for-dollar up to 4% of eligible pay; immediate vesting.
- Health & Welfare Benefits: Employer provided medical, dental, vision, prescription drug, Employee Assistance Program and accident & illness coverage.
- Life and Disability Insurance: Employer provided basic life insurance and AD&D valued at 50K coverage amount with the option for voluntary buy up for additional coverage.
- Time Off: Flexible non-accrual vacation; company holidays per policy. (For California employees, this is separate from California paid sick leave, if applicable.)
- Expenses: Business travel and related expenses reimbursed per company policy.
If you need assistance or accommodations during the application or interview process, please contact us at ta@wearelegence.com or your dedicated recruiter with the job title and requisition number.
Candidates must have current work authorization in the U.S.; visa sponsorship is not available for this position.
Legence and its affiliates do not accept unsolicited resumes from agencies; any such submissions without a prior signed agreement authorized by Legence Holdings LLC's CHRO or Director of Talent Acquisition will not incur fees and are considered property of Legence.
Where pay ranges are indicated, please note that a successful candidate’s exact pay will be determined based relevant job-related factors, including any of the following: candidate’s experience, skills, and qualifications, as well as geographic and market considerations. We are committed to ensuring fair and competitive compensation for all employees and comply with all applicable salary transparency laws.
Legence and its affiliate companies are proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), marital or familial status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, other non-merit-based factors, and any other characteristic protected under applicable local, state or federal laws and regulations. EEO is the Law
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