Key Facts

Remote From:

Anywhere

Full time

Mid-level (2-5 years)

English

Hard Skills

Other Skills

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Communication
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Teamwork
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Strategic Thinking
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Problem Solving

Roles & Responsibilities

Bachelor’s degree in computer science, information systems, engineering, data science, or a related field with at least 2 years of professional experience in data engineering, BI engineering, or analytics engineering; or a master’s degree in one of these fields with at least 1 year of professional experience.
Strong SQL including window functions, performance tuning, and relational modeling.
Hands-on experience with Azure (ADF/Synapse, ADLS, Azure SQL, Key Vault, Functions, Fabric, Purview).
Proficient in Python for data analysis, automation, APIs, and scraping frameworks.

Requirements:

Data Engineering: Design, develop, and maintain Azure-based ELT pipelines to ingest, clean, transform, and publish data. Ensure robust data quality, monitoring, and governance standards.
Data Optimization: Improve efficiency and scalability of SQL queries, stored procedures, and Spark/PySpark/Databricks jobs.
Automation Integration: Create Python automation scripts for API ingestion, web scraping, and scheduled data updates. Integrate external data sources securely into Azure Data Lake and Azure SQL.
Power BI Modeling: Build and publish enterprise datasets using star schema design, row-level security, incremental refresh, and deployment pipelines. Partner with BI analysts to enhance refresh times and model reliability.

ECC

About ECC

ECC is an employee-owned company that consistently ranks among the top construction and environmental companies in the world. Founded in 1985, ECC has nearly 365 employees located in 14 offices around the globe. ECC provides high-quality, comprehensive, and competitive design-build, construction, environmental remediation, disaster recovery, energy, munitions response, and international development solutions to solve some of our clients' toughest challenges. Together with our clients, we are constructing state-of-the-art facilities for our military, rebuilding war-torn regions, building capacity in underdeveloped nations, remediating the environment, implementing renewable energy and energy efficiency solutions for our future, and revitalizing communities after natural disasters. For more information, please visit us at www.ecc.net.

Founded: 2018

Company size: 201 - 500

Website LinkedIn See all jobs →

Job description

Description

Location: Remote from US Location

Position: Analytics Engineer I

ECC provides essential environmental, construction, and disaster response services, relying on its Data Science & Analytics Team for enterprise data pipelines, automation, Power BI datasets, and AI initiatives.

As an Analytics Engineer, you transform data and technology into actionable insights to drive growth and improve performance. You design and maintain data infrastructure, develop predictive and AI-driven solutions, and collaborate with business units to optimize personnel selection, safety and core KPIs. In addition to technical expertise, you embody ECC’s vision and values - building trust, fostering collaboration, and encouraging innovation to support both team and stakeholder success. In this position you will:

Data Engineering: Design, develop, and maintain Azure-based ELT pipelines to ingest, clean, transform, and publish data. Ensure robust data quality, monitoring, and governance standards.
Data Optimization: Improve efficiency and scalability of SQL queries, stored procedures, and Spark/PySpark/Databricks jobs.
Automation & Integration: Create Python automation scripts for API ingestion, web scraping, and scheduled data updates. Integrate external data sources securely into Azure Data Lake and Azure SQL.
Power BI Modeling: Build and publish enterprise datasets using star schema design, row-level security, incremental refresh, and deployment pipelines. Partner with BI analysts to enhance refresh times and model reliability.
AI Initiatives: Develop and deploy machine learning models for business insights, leveraging modern AI frameworks and tools. Collaborate on research into advanced analytics and predictive modeling pipelines, aligning solutions with industry best practices and integrating them with data lake and data warehouse environments.
Cross-Team Collaboration: Engage with HR, Operations, Scheduling, and Finance teams to define data requirements and participate in code reviews, contributing to shared repository standards.
Be a Self-Starter: Proactively identify opportunities and initiate actions that drive progress, without waiting for direction.
Think Broadly: Apply strategic and holistic thinking to project work, keeping in mind how individual actions contribute to the organization’s long-term goals and success.
Documentation & Support: Maintain thorough documentation, runbooks, monitor dashboards, and architecture diagrams. Provide support for production pipelines during deployments and major program cycles.

Requirements

Bachelor’s degree in computer science, Information Systems, Engineering, Data Science, or a related field with at least 2 years of professional experience in data engineering, BI engineering, or analytics engineering; or a master’s degree in one of these fields with at least 1 year of professional experience.
Strong SQL includes window functions, performance tuning, and relational modeling.
Hands‑on experience with Azure (ADF/Synapse, ADLS, Azure SQL, Key Vault, Functions, Fabric, Purview).
Proficient in Python for data analysis, automation, APIs, and scraping frameworks.
Power BI dataset modeling experience (DAX fundamentals, RLS, incremental refresh).
Experience with Git and CI/CD pipelines.
Understanding of data quality, observability, and structured documentation.

ECC targeted salary range for US locations average is $75,762 to $103,840 annually. Actual salary offered may be affected by education, training, certifications, experience, skills, level of responsibility, and location.

Benefits Offered for Full-Time positions:

Medical/Dental/Prescription/Vision Insurance
Life Insurance, Long Term Disability Insurance
Paid Time off and Holiday Pay
401k with deferral matching, ESOP, Student Debt Reduction Program
Flexible Spending Accounts (FSA)
Educational Assistance, Mentorship Program, ECC University
Employee Referral Bonus Program
Company-matching charitable giving program

ECC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact TeleSign HR at [email protected]. This email address is reserved solely for job seekers with disabilities requesting accessibility assistance or an accommodation in the job application process. Please do not email about the status of your job application if you do not require accessibility assistance or an accommodation. Messages left for other purposes, such as following up on an application or non-disability related technical issues, will not receive a response.

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