Senior Data Engineer | Sightly, Inc. | United States

Senior Data Engineer

About the job

Sightly is a growing technology company leading the revolution in real-time marketing and brand intelligence. Join us as we pursue our disruptive mission to empower businesses everywhere to make the most authentic + profitable decisions in real time.

Our AI-driven Brand Mentality® platform enables any brand (or agency) to leverage an ever-changing ocean of news, social, media and audience data to make more intelligent decisions at the speed of culture. At Sightly, we’re passionate about our product, our customers, our impact on the world, and most importantly, our team.

Are you looking for a fun & fast-paced environment where you can make a real impact? Do you want to get-in on the ground floor of a revolutionary new software product? Are you an innovative thinker who can get things done?

We are looking for an experienced Data Engineer to join our team! This role will develop and test data pipelines that will run in the cloud gathering data from third party APIs, and then transform, validate and deliver the data to our cloud hosted Snowflake data warehouse. The data engineer will work closely with the Analytics and Data Science team as they build and provide machine learning solutions for our clients, and the Engineering team charged with developing a client-facing platform. If you have a solid track record as a data engineer, there is a place for you on our team.

We are a small company with a strong collaborative ethic, so there will be opportunities to get involved with projects that will help expand your skillset and knowledge. Professionals who take the initiative, can work without a lot of supervision, can begin projects independently, and have good communication skills will excel in this position.

Note: This is a full-time position based remotely.

Your duties:

• Design, build, test and maintain data pipelines into Snowflake data warehouse
• Connect to and explore third party data APIs to determine what data we should collect to meet business needs
• Understand and follow data collect, update, and refresh guidelines from Data Science and Engineering teams
• Collaborate with engineers and analysts to identify opportunities and risks in data collection and storage
• Develop and maintain schema for data sources we rely on

You have:

• 3-4 years experience as a Data Engineer or similar role
• Solid experience with at least one modern programming language (Python, Scala, Java, Go, R)
• Solid experience using ETL software (DBT, Airflow, etc)
• Good relational database design and interaction experience (PostgreSQL or similar)
• Good experience using cloud computing platforms to build processes (AWS, Google Cloud Platform, Microsoft Azure)
• Familiarity with and experience using git or similar code versioning software
• Experience working on an agile team, coming up with requirements and ability to scope individual efforts
• Eagerness to learn new technologies and follow industry best practices in an ever-evolving field

Nice to have:

• Google Cloud Function, or AWS Lambda script development experience
• Snowflake data warehouse development experience
• Docker / Kubernetes experience
• BS or better in a quantitative (computer science, engineering, etc) field
• Test driven development, test automation, CI / CD experience

Additional qualities we’re looking for:

• Knowledge of or experience in the digital advertising and/or marketing field
• Self-starter, focused, organized, and eager to learn
• Excellent communications and presentation skills
• Collaborative mentality and the ability to ideate & develop new business solutions
• Comfortable working in a fast-paced and dynamic environment
• Outstanding time management skills

Location:

• This is a remote position.

Our Values:

• We love what we do. We’re passionate about what we do and who we do it for.
• We stay curious. We encourage asking questions and we cultivate an environment of curiosity.
• We move first. We’re a lean & hungry team who get sh*t done. We respond to change with nimble innovation.
• We care about people. We understand that life is bigger than work. We look out for one another and celebrate each person’s unique contributions to the team
• We respect perspectives. We champion the right to having one’s own unique mentality and we encourage diversity of thought.

Job Type: Full-time

Pay: $130,000.00 – $150,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Flexible schedule
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Retirement plan
• Vision insurance

Schedule:

• Monday to Friday

Education:

• Associate (Preferred)

Experience:

• Data Engineering: 3 years (Required)

Work Location: Remote

Tagged as: remote, remote job, virtual, Virtual Job, virtual position, Work at Home, work from home