The Data Engineer - Internal Systems is responsible for enabling our organization to harmonize Gecko’s internal data to make business-critical decisions. This is the first internal role of this 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.As the Data Engineer - Internal Systems, you will:-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.About You-Exceptional organizational and time management skills-Adaptable, with strong problem-solving and critical thinking skills while working in a rapidly changing environment with dynamic objectives and iteration with users-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 worldRequired Skills / Experience-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, etc)-Expertise in ETL design and operations, DevOps and CI/CD, and Data governancePreferred Skills / Experience-Data Platform experience (e.g., Snowflake, Databricks, Palantir, etc)-Data analytics experience (e.g., Tableau, PowerBI, Qlik, Looker, etc)-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)

Minimum Salary: 130000 Maximum Salary: 170000 Salary Unit: Yearly