Data Analytics Engineer

What We Do Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall‑climbing robots, industry‑leading sensors, and an AI‑powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real‑time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.

The Data Analytics Engineer is responsible for enabling our organization to harmonize Gecko’s internal data to make business‑critical decisions. This is the first internal role of its kind, and will have high ownership in guiding internal decisions regarding data. You will be a primary interface and thought‑partner delivering end‑to‑end solutions with key stakeholders across all internal teams, including Engineering, Operations, Manufacturing & Supply, Sales, Finance, People, and Recruiting.

• Integrate disparate data systems to create unified data views by designing, developing, and maintaining scalable data pipelines and ETL processes.
• Collaborate with internal teams to understand their data needs and requirements.
• Produce analyses and reporting while building toward self‑service enablement.
• Ensure the effective operation and uptime of data infrastructure.
• Implement solutions for robust data collection from various internal and external sources.
• Monitor and ensure the accuracy, consistency, and security of data.
• Perform data cleansing and validation to maintain high data quality.
• Implement and advocate for innovative data engineering practices and tools.

• Exceptional organizational and time‑management skills.
• Adaptable, with strong problem‑solving and critical‑thinking skills while working in a rapidly changing environment.
• Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision.
• Excellent written and verbal communication skills with the ability to collaborate effectively with both technical and non‑technical stakeholders.
• Mission‑oriented, seeking meaningful work for the betterment of our world.

• Bachelor’s degree in fields such as Computer Science, Data Engineering / Science, Mathematics, Software Engineering, Physics or relevant experience.
• 3+ years in data engineering, operations, and/or application development roles, solving diverse business problems utilizing data and related analytical methods.
• Familiarity with data structures, storage systems, cloud infrastructure, front‑end frameworks, and other technical tools.
• Proficiency with common data engineering and analysis languages (e.g., Python, SQL, Spark, Scala, Java, …).
• Expertise in ETL design and operations, Dev Ops and CI/CD, and data governance.

• Data platform experience (e.g., Snowflake, Databricks, Palantir, …).
• Data analytics experience (e.g., Tableau, Power
  
  BI, Qlik, Looker, …).
• System architecture design and implementation.
• Familiarity with Google Cloud and/or AWS.
• Familiarity with business applications and their underlying data (e.g., CRM and ERP systems).

• Competitive compensation packages including company equity.
• 401(k) matching.
• Gender‑neutral parental leave.
• Full medical, dental, and vision insurance.
• Mental health and wellness support.
• Ongoing professional development.
• Family planning assistance.
• Flexible paid time off.

Compensation Range: $140K - $170K

Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law.