Full Stack Data Engineer
7 days ago
About the role:
We are seeking a dynamic Full Stack Data Engineer to join our team. The ideal candidate will possess a comprehensive skill set across the entire data engineering lifecycle, including data storage, processing, integration, and application development. This role demands a deep understanding of various databases, data warehouses, and big data technologies such as Hadoop and Spark, proficient in SQL and Python as well as ETL processes and development strategies.
This is a hybrid position with a requirement of 3 full days in our Omaha, NE office.
Responsibilities:
- Design and implement scalable data storage and processing solutions.
- Integrate data from diverse sources like APIs, streaming platforms, and batch data into cohesive pipelines.
- Develop and maintain ETL processes, ensuring data accuracy and efficiency.
- Deploy and manage data pipelines, databases, and applications, focusing on high-quality deliverables.
- Work independently and contribute significantly to the company's data engineering initiatives.
- Other duties as assigned
About You:
- 2+ years of experience in modern database technology, data modeling, building data products, distributed data systems, and test data engineering
- 2+ years of experience within in SQL, Python, and Spark.
- 2+ years of development experience in Python, Java, Scala, or Node.
- Extensive experience with AWS (S3, EC2, EMR, Redshift, Athena, Clue, Lambda)
- Proven track record in building real-time and batch data pipelines using tools such as Airflow, Spark, Kafka, Fivetran, Census, DBT, etc.
- Expertise in data platform infrastructure management, including Data Warehouses and Data Lakes (Redshift, Big Query, Snowflake, Delta Lake, etc.).
- It's a bonus if:
- Experience with serverless architecture or Infrastructure as Code (e.g. Terraform, Serverless Framework, AWS CloudFormation ).
- Familiarity with Pandas, Dusk, Ray, Node.
- Proven ability to maintain and evolve code to meet user demands.
- AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certification is a plus.
- Over 5 years of experience in data governance, data access, data lineage, monitoring, and security controls.
Why join us?
The Unison team draws on a deep and wide range of talent across several disciplines. Visionaries in investment management, product development, and financial technology are joined by innovative real estate and consumer finance experts creating a unique culture.
Perks of the Unison employee include: competitive salaries, 100% paid medical and dental benefits, generous PTO policy, paid parental leave program, and a fantastic downtown SF location, as well as being an integral part of a well-funded market leader with incredible momentum.
About Us:
Unison is a San Francisco-based company that is pioneering a smarter, better way to own your home. Until now, the only way to finance a home was by taking on debt. Through the Unison Agreement, we help homeowners access their equity flexibly with no monthly payments or interest. We enhance home affordability, reduce debt, and deliver a less risky way for homeowners, investors, and society to think about their most important asset - the home. For additional information, visit www.unison.com or follow us on Facebook, Instagram, LinkedIn, Twitter and YouTube.
The last few years have been record breaking for Unison. We expanded our offering to 30 states, surpassed the $5B mark in real estate investments and partnered with over 7K customers through our HomeBuyer and HomeOwner programs. This tremendous growth was recognized by the Deloitte Technology Fast500 awards two years in a row as well as being included in the most recent Forbes Fintech50.
Unison provides equal employment opportunity to all individuals regardless of their race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, pregnancy, or any other characteristic protected by state, federal, or local law.
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