Green HOPE Data Engineer (Remote in AL, AR, LA, MS or TN)
- Department: Decision Science and Insights
- Reports To: Manager, Advanced Analytics, Decision Science and Insights
- Job Classification: Exempt, Full-time
- Location: Remote in AL, AR, LA, MS or TN
The Green HOPE Data Engineer is responsible for designing, developing, and maintaining robust data pipelines and architectures to support efficient data collection, processing, and analysis of environmental information, specifically for commercial solar projects funded by Hope Enterprise Corporation’s Solar For All programs in Mississippi and Arkansas.
This position is in the available via telecommute within our five-state footprint, including MS, LA, AR, AL, and TN. Occasional travel to the corporate office in Jackson, MS for in-person team meetings is required.
Responsibilities:
- Work closely with HOPE’s commercial lending business line and the broader SFA project team on solar lending workflows and business processes
- Participate in data mapping and design sessions with the SFA project team to support project/transactional data requirements as outlined in the Environment Protection Agency’s (EPA) required reporting templates
- Collaborate with internal customers to understand data requirements and designs and implements scalable and efficient data pipelines to extract, transform, and load (ETL) data from various sources including subrecipients and/or contractors into HOPE reporting environments
- Work with subrecipients and/or contractors to verify that file transfer methodologies, minimum data requirements, and file management practices are appropriate and consistent with project requirements
- Document quality control procedures and methodologies for all environmental data collection, analysis, workflows, and outputs from technology activities
- Collaborate with the SFA Quality Assurance Manager to ensure quality practices are carried out according to established standards and are compliant with Environmental Protection Agency (EPA) guidelines.
- Integrate data from various sources, ensuring data consistency, quality, and reliability.
- Utilize Azure Synapse, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS) Gen 2 to build and manage data solutions.
- Consult with Decision Science and Information Technology team members on requirements for database design and storage needs surrounding data collection via lending platforms, online applications and forms, etc.
- Focus on measures to ensure compliance with relevant regulations regarding data privacy and security
- Consult with the Decision Science Team and design and build reporting dashboards as needed to support transaction/project level data requirements as outlined in the EPA’s TPL and Semi-Annual progress report deliverables, as well as other reporting needed by project staff
- Attend SFA project meetings and provide feedback to the team
- Develop and support data needs arising from other Green HOPE product initiatives
- Prepare and present options, risk, findings, status, thought and design through implementation
- Assist in identification of information technology to support new strategies and programs
- Provide technical support for data-related issues and troubleshoot problems as they arise
- Perform other duties as assigned
Qualifications:
Required
- Bachelor’s degree (or higher) in Computer Science, Engineering, or a related discipline.
- 6 + years of experience designing and implementing data systems, pipelines, and infrastructure within software tools i.e., Microsoft Azure, GCP or AWS
- Advance level proficiency in programming languages SQL and experience with Python, R, Java, or Scala is required
- Proficiency with the Azure Data Engineering tools including; Azure Synapse, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS) Gen 2 and Purview
- Ability to travel up to 25% (i.e., meetings, training, conference, project rollout)
Preferred
- Experience designing data systems and pipelines specifically for government compliance and reporting use cases (e.g., regulatory reporting, public sector analytics).
- Familiarity with government data standards, protocols, and security requirements.
- Technical Proficiency: Strong proficiency in SQL and experience with Python, R, Java, or Scala is required.
- Azure Tools: Experience with the Azure Data Engineering tools including; Azure Synapse, Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS) Gen 2 and Purview
- Spark and Databricks: Experience with Spark/PySpark/SparkR and Databricks for data processing and analytics
- Data Visualization tools: Experience with Power BI or Tableau is an added advantage
- Data Modeling: Knowledge of data modeling techniques and best practices.
- Data Integration: Experience with data integration tools and techniques.
- Problem-Solving: Excellent problem-solving and analytical skills, with attention to detail.
- GCP Tools: Familiarity with the Google Cloud ecosystem is an added advantage.
- Communication: Strong interpersonal and communication skills, capable of collaborating effectively with cross-functional teams.
- Organizational Skills: Ability to manage multiple projects and tasks simultaneously.
- Project Management: Experience with project management methodologies and tools.
- Ability to manage strict deadlines and multitask
- Ability to work independently
- Organizational Awareness: Having and using knowledge of systems, situations, procedures, and culture inside the organization to identify potential problems and opportunities; perceiving the impact and the implications of decisions on other components of the organization.
- Results Orientation: Being persistent and showing perseverance on achieving concrete and tangible results out of personal responsibility; getting optimum results from situations and being ready to take action and show tenacity in case of obstacles or resistance.
- Noise level in the work environment is usually moderate
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions
- Under normal circumstances, an employee spends most of their time in an office environment, accessible to the public, customers, and potential customers
- Employees who telecommute must have access to a quiet environment suitable for professional work, high-speed internet capability, and be able to participate in video conference sessions
- Remote employees are expected to maintain availability and responsiveness during standard corporate business hours, typically 8:00 AM to 5:00 PM CST, unless otherwise agreed upon with their supervisor
- If a non-essential employee wishes to work at a HOPE location, he/she must conform to work and safety requirements implemented by the Human Assets Department.
- Paid Vacation and Sick Time
- 11 Paid Holidays
- 401(k) with Company Match
- Medical, Dental, and Vision Benefits
- Flexible Spending Account (FSA)
- Disability Benefits
- Life Insurance, Critical Illness, Accident
- Employee Assistance Program (EAP)
- Tuition Reimbursement
- Professional Development
Hope Enterprise Corporation does not participate in or engage in any form of visa sponsorship, including employment-based visa applications or extensions (e.g., H-1B, TN, O-1, OPT, STEM OPT, etc.). Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.
We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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