LATAM – Data Engineer Skillset

Do you want to support innovative clients at the intersection of cutting-edge technologies and impactful relationships?

evolv's culture of integrity, humility, passion, and drive and have been named "Best Places to Work" by Dallas Business Journal in 2021 and 2022, "Top Workplaces" by Dallas Morning News in 2023, ranked #368 on Inc. 5000's list of fastest growing private companies in 2023 and ranked #14 on the 2024 Inc. Regionals: Southwest list of fastest growing private companies in America.

We are seeking a talented and professional LATAM – Data Engineer Skillset to join our team.

Responsibilities:

• Design and build data models to support business requirements. 
• Assist in the design of scalable big data platforms/solutions used to ingest and process accurately scaled traffic data. 
• Work to build end-to-end solutions that enable business stakeholders, BI engineers, and analysts to self-serve their business intelligence needs. 
• Develop and automate large scale, high-performance, scalable platform (batch and/or streaming) to drive faster analytics. 
• Design large-scale, complex applications and frameworks with excellent run-time characteristics such as low-latency, fault-tolerance, and availability. 
• Build and maintain custom frameworks to support engineering/analytics needs. 
• Partner with analytic consumers and data scientists to build and improve new/existing constructs and solve data engineering problems at scale. 
• Deploy inclusive data quality checks to ensure high quality of data. 
• Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale. 
• Develop and maintain data ingestion and processing systems. 
• Implement data storage solutions (databases and data lakes). 
• Ensure data consistency and accuracy through validation and cleansing techniques. 
• Work cross-functionally with teams to identify and address data-related issues. 
• Transform innovative concepts into practical solutions. 
• Provides intermediate-level engineering design functions. 
• Proposes opportunities to improve results based on targeted or continuous assessment. 
• Participates in enterprise planning activity, including vendor assessment, technology platform selection and retirement, prioritization, and integration. 
• Provide operational readiness for applications that enables seamless 24x7x365 production support and technical support.
• Other duties as assigned.

Requirements:

• 7+ years of experience, Snowflake, Alation, DBT, Tableau, Monte Carlo, Opsgenie, DataDog, Lucid, GitLab. 
• Proficiency in the following programming languages: Python, Java, Scala). 
• Experience with big data technologies like Hadoop, Spark and Kafka. 
• Knowledge of database management systems, both relational (e.g., SQL, PostgreSQL) and non-relational (e.g., MongoDB, Cassandra). 
• Familiarity with data integration and ETL tools, such as Talend, Informatica, or Apache NiFi. 
• Strong problem solving and analytical skills. 
• Excellent communication and collaboration abilities. 
• Adaptability and willingness to learn new technologies and techniques.

We believe in being inclusive of all people regardless of gender, race, religion, sexual orientation, age, or any attribute not relevant to job performance. We know that an inclusive, equitable and diverse company is a more innovative and successful one. We aim to employ the most talented professionals in the world by casting a wide net to find Team Members with shared values. evolv is committed to creating and maintaining a high-performing workplace in which all Team Members have a fair and just opportunity to contribute to the success of the business and are valued for their skills, experience, and authentic perspectives.

EOE/M/F/D/V