Sr Data Engineer

Join a fast-growing, award-winning company that’s shaking up the solar and power generation industries. At the forefront of solar + storage innovation, we’ve achieved 200% year-over-year growth for five consecutive years—while staying financially rock-solid with zero long-term debt and a portfolio of patented technologies.

While others in the industry navigate uncertainty and consolidation, we’re scaling fast and building toward an exciting future—including plans to go public in 2027. We move quickly, think creatively, and operate like a tight-knit startup—just one that’s growing into a major force.

If you’re looking to make a real impact at a company where ideas move fast and results matter, we’d love to meet you. Ask us why we’re thriving when others aren’t. Better yet—interview with us and see for yourself.

Job Description

Location: This position will be onsite at our corporate offices in Allen, Texas (Dallas-Fort Worth area).

Not a remote position.

Full-time W-2 ONSITE opportunity (not remote)!

Work Eligibility:

• Candidates must be legally authorized to work in the United States without requiring employer-sponsored visa sponsorship now or in the future.
• At this time, Sol-Ark is unable to consider candidates on F1-OPT, H1B or CPT status.

We are seeking an experienced Data Engineer with 10+ years of professional experience, specifically focused on developing Data pipelines, Data Lakes and data warehouses for structured and non-structured data from millions of IoT Devices transmitting data to the cloud. The ideal candidate will have a strong technical knowledge of relational and NoSQL DB, data migration, data wrangling, Pre/Post processing, and Database administration. The candidate will have excellent problem-solving skills, and a proven track record of delivering high-quality Data warehousing solutions.

Responsibilities

• Ensure the high availability, low latency, high performance, efficiency, and stability of critical data infrastructure, supporting a range of data platforms for micro-services, Apis, and custom backend Java/JEE components.
• An Expert in design and development of real time and offline batch processing of data pipelines for various custom enterprise Java Applications on AWS cloud systems.
• An Expert in setting up different databases between environments, for multiple applications.
• Expert at continuous data releases for different products and transferring data between environments.
• Collaborate with software and firmware development teams to design and implement solutions that create analytics, reporting and related monitoring solutions.
• Optimize resources (DB, Network Configurations etc.) utilization and minimize unnecessary expenditure on IT Data infrastructure.
• Develop and maintain confluence documentation for tools and pipelines.
• Collaborate frequently with software developers to configure AWS Cloud IT Data security, QA and integration development environments.

Requirements

• Building Data Pipelines to extract data form multiple sources and make data usable for business objectives.
• Building Data Warehousing to prepare structured and non-structured data for use for analytics, and reporting.
• Building Data Lakes to manage large volumes of the data, to move, transform, and analyze the data between cloud and on-premises.
• Expertise in Data and Database migrations between different environments and applications. Work as a DBA, ability to manage and transfer the data between different applications.
• Expert level knowledge in following areas:

-Infrastructure (AWS, Docker or related)
-Database (MySQL, MongoDB, InfluxDB or similar time series)
-DB SQL Languages (SQL, NoSQL, Python)
-ETL/Batch processes (Spring Batch, Java)
-Big Data (Hadoop, Apache Spark, Apache Parquet or similar)

• Excellent communication skills both vertically and horizontally within the organization related to all aspects of technical leadership — written and verbal.

Desired Qualifications

• Experience in setting CICD /DevOps for Data Management.
• Experience in managing APIs via Gateway, SWAGGER or similar tools for exposing data.
• Experience in Securing all the custom data and DB on AWS.
• Experience in setting up data ingest points for real-time IOT applications.
• Familiarity with TLS 1.2/1.3 implementations.
• Understanding of electrical systems and power distribution.

Benefits

Salary and Benefits: We offer a competitive salary and performance-based bonus program, top-tier benefits package, including medical, dental, and vision insurance, 401(k), and paid time off.