Analytics Engineer
Irvine /
Verus /
Fulltime
/ On-site
At Leo Technologies, we are passionate about building software that solves real-world problems in the Public Safety sector. Our software has been used to help the fight against continuing criminal enterprises, drug trafficking organizations, identifying financial fraud, disrupting sex and human trafficking rings and focusing on mental health matters to name a few.
We are seeking a highly skilled and experienced Analytics Engineer to join our Analytics & ML team. The successful candidate will have a strong background in ETL and BI, as well as a passion for data and a desire to drive business insights through data-driven decision-making. We work with some of the most unique datasets you'll see. We are a data mining company at heart and know you will enjoy the challenge of working with and deriving value from a public safety-focused dataset. As a Sr. Analytics Engineer, you will be responsible for designing, building, testing, deploying, documenting, maintaining and scaling data infrastructure to support the data analytics needs of our organization.
Role
- As a Sr. Analytics Engineer, you will be responsible for designing, building, testing, deploying, documenting, maintaining and scaling data infrastructure to support the data analytics needs of our organization
- You will create helpful dataset representations and tools that the rest of the organization will utilize to get the answers to their questions
- Collaborate with product, engineering, data science, strategy and client teams to understand our needs and deliver actionable solutions
- Create solutions and recommend tools to allow business users to self-serve and be data-driven while getting reliable, consistent answers
- Develop and implement data pipelines to ingest, transform and store data from a variety of sources
- Design and implement data models to support the needs of data analysts and data scientists
- Collaborate with cross-functional teams to identify and prioritize data needs
- Ensure the reliability, performance and security of the data infrastructure
- Develop and maintain BI dashboards to provide actionable insights to key stakeholders
- Use SQL and other data manipulation languages to extract, transform, and load data
- Ensure data quality and accuracy through testing and debugging
- Set software engineering best practices for analytics throughout the organization
- Build and maintain data warehouses, data lakes and other data storage systems when needed
- Attend to incoming data & analytics support requests from both internal and external teams, and prioritize them
- Stay up to date with the latest developments in data engineering and related fields
- Mentor and train other team members on data engineering topics
What We Value
- Bachelor's degree in Computer Science, Data Science, or a related field - 5+ years of experience as a data engineer or related role
- Proficient in Python, AWS Data Services(Glue, Kinesis, EKS), SQL, DBT, with working knowledge of Spark, Hadoop or other big-data platforms
- Experience with using Airflow to author, schedule, and monitor our data pipelines
- Experience with at least one modern data stack and data visualization tool like Snowflake, Imply, Domo, Airbyte, Looker, ThoughtSpot, Tableau etc.
- Working experience with batched, streaming data and analytics
- Have the technical skills to apply software engineering best practices such as Version Control and CI/CD - Experience with Stitch, Fivetran or similar data integration platforms
- A good mix of engineering and business exposure
- Self-starter and autonomous in your day to day
- You consistently demonstrate the ability to work independently and take the initiative on projects
- A true self-starter, able to take on new challenges and find creative solutions without the need for constant supervision
- Is a reliable and autonomous team member who consistently delivers high-quality results
- Strong work ethic and a natural ability to problem-solve
- The ability to participate in technical discussions and put effort into understanding new topics
- An approach to project management that focuses on lightweight frameworks that allow for quick iteration while working in tandem with a bigger development team
- Exceptional attention to detail, including adhering to your team's vision and maintaining a high standard of product quality
Technologies We Use
- Our Analytics and ML team will be running their own tech stack using industry standard languages and tools.
- We are hosted on AWS Cloud and use numerous AWS services.
- Our backend languages primarily consist of Elixir, NodeJS and some Python.
- TypeScript and React are central to our front-end development.
- Terraform, CloudFormation, Ansible are leveraged for our Infrastructure deployment and automation.
- Industry-standard build tooling and CI/CD using Jenkins, CodePipeline and GitHub.
- A low-code test automation framework for end-to-end testing.
- A mix of open-source and proprietary technologies that are tailored to the problems at hand.
What You Can Expect
- Enjoy great team camaraderie whether at our Irvine office or working remotely.
- Thrive on the fast pace and challenging problems to solve.
- Modern technologies and tools.
- Continuous learning environment.
- Opportunity to communicate and work with people of all technical levels in a team environment.
- Grow as you are given feedback and incorporate it into your work.
- Be part of a self-managing team that enjoys support and direction when required.
- 3 weeks of paid vacation – out the gate!!
- Competitive Salary.
- Generous medical, dental, and vision plans.
- Sick, and paid holidays are offered.
- Stand/ sit workstations at our amenity rich office in Irvine, CA.
- Casual environment.
- Kitchen stocked with snacks and drinks on site.
- Hybrid and Remote options available
- Work with talented and collaborative co-workers.
LEO Technologies is committed to a diverse and inclusive workforce. We are an equal opportunity employer and do not discriminate on the basis of race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or another legally protected status.
