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The Data Engineer will design, build, and maintain data pipelines, analyze data for insights, and collaborate with teams to enhance data quality and documentation.
Cybercrime is rising, reaching record highs in 2024. According to the FBI's IC3 report total losses exceeded $16 billion. With investment fraud and BEC scams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals. At CertifID, we take this threat seriously and provide a secure platform that verifies the identities of parties involved in transactions, authenticates wire transfer instructions, and detects potential fraud attempts. Our technology is designed to mitigate risks and ensure that every transaction is conducted with confidence and peace of mind.
We know we couldn’t take on this challenge without our incredible team. We have been recognized as one of the Best Startups to Work for in Austin, made the Inc. 5000 list, and won Best Culture by Purpose Jobs two years in a row. We are guided by our core values and our vision of a world without wire fraud. We offer a dynamic work environment where you can contribute to meaningful impact and be part of a team dedicated to enhancing security and fighting fraud.
We are looking for a skilled and motivated early-career Data Engineer with 2-5 years of experience designing, building, and maintaining data pipelines. Additionally, you will be helping provide business data analytics in collaborative team environments.
You will collaborate with data scientists, engineers, and business stakeholders to ensure high-quality and actionable data insights to enable business outcomes.
Key Responsibilities:
- Ingest raw data from MongoDB, third party vendors, and business applications utilizing various technologies including Fivetran and Hex.
- Transform data into desired structures with dbt.
- Analyze data and build reporting via Hex and Metabase.
- Develop optimizations to improve data pipeline performance, scalability, and reliability.
- Implement data quality checks and monitoring systems.
- Enhance documentation of available data to assist onboarding new users to self-service building reports.
Qualifications:
- Proven experience as a Data Engineer or similar role building data pipelines and producing data for business analytics
- Familiarity with data engineering principles
- Can write SQL queries or are familiar with MongoDB
- Understand how to develop data ingestion, transformation, and validation, preferably in Python, or a scripting language
- Experience with data engineering tools such as MongoDB, Supabase, Hex, dbt, Metabase, and Elementary.
- Have good communication skills and can work in a fast-paced and flexible team
- Are capable of making independent decisions
Benefits
- Health, dental, and vision Insurance
- 401k with matching and no waiting period
- Equity
- Wellness reimbursement of $300/year
- Life insurance
- Parental leave
- Flexible vacation
- Remote work reimbursement
- 5 sick days
- 12 company-paid holidays
- No work on your birthday
- We believe that company culture is the best predictor of success. Learn more about CertifID’s culture here
Change doesn't happen overnight, and the same goes for us here at CertifID. We PROGRESS collectively and individually as we grow, abiding by our core values. Protect the Customer, Raise the Bar, Operate with Urgency, Grow with Grit, Ride the Wave, Enthusiasm Spreads, Stay Connected, Send It.
Top Skills
Dbt
Elementary
Fivetran
Hex
Metabase
MongoDB
Python
Supabase
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