Software Engineer, Data Platform
Company: Sift Science
Posted on: January 15, 2022
The Data Platform team is responsible for making Sift's data
easy to use, understand, and communicate. This team ensures the
availability, correctness, and data privacy compliance of
information critical for Sift's day-to-day operations. Our
customers include not just Sift's data science product teams, but
also our sales, services, and business operations teams. We are
excited about our plans to build our next generation data analytics
solution. What you'll do : As a software engineer on Sift's Data
Platform team , you will build data warehousing and business
intelligence systems to empower engineers, data scientists, and
analysts to extract insights from our data. You will design and
build Petabyte scale systems for high availability, high
throughput, data consistency, security, and end user privacy,
defining our next generation of data analytics tooling. You will do
data modeling and ETL enhancements to improve efficiency and data
quality . You will mentor other engineers and promote software
engineering best practices across the org anization. What would
make you a strong fit: Deep experience in any of the below
technologies would make you a strong fit.
- Experience writing and optimizing complex SQL and ETL
- Experience designing and building data warehouse, data lake or
lake house solutions
- Experience with distributed systems and distributed data
- Experience with large scale data warehousing solutions, like
BigQuery, Athena, Snowflake, Redshift, Presto, etc.
- P rofessional software development experience or a degree in CS
(or a related field).
- Experience working with large datasets and best in class data
processing technologies for both stream and batch processing, such
as Apache Spark, Apache Beam, MapReduce, Flink.
- Strong communication and collaboration skills particularly
across teams or with functions like data scientists or business
- Experience with Python, Java, or similar languages
- Experience with cloud infrastructure (e.g. GCP, AWS)
- Experience working with big data processing infrastructures
like AWS Elastic Map Reduce or GCP Dataproc or Dataflow.
- Experience with workflow orchestrators such as Airflow or Cloud
- Experience with the analytics presentation layer (Dashboards,
Reporting, and OLAP)
- Experience with designing for data compliance and privacy A
little about us: Sift is the leading innovator in Digital Trust &
Safety. Hundreds of disruptive, forward-thinking companies like
Airbnb, Zillow, and Twitter trust Sift to deliver outstanding
customer experience while preventing fraud and abuse. The Sift
engine powers Digital Trust & Safety by helping companies stop
fraud before it happens. But it's not just another anti-fraud
platform: Sift enables businesses to tailor experiences to each
customer according to the risk they pose. That means fraudsters
experience friction, but honest users do not. By drawing on
insights from our global network of customers, Sift allows
businesses to scale, win, and thrive in the digital era. Benefits
- 401k plan
- Medical, dental and vision coverage
- Wellness reimbursement
- Flexible time off Sift is an equal opportunity employer. We
make better decisions as a business when we can harness diversity
in our experience, data, and background. Sift is working toward
building a team that represents the worldwide customers that we
serve, inclusive of people from all walks of life who can bring
their full selves to work every day. Are you eligible to work in
the country in which you're applying? -*
Will you now or in the future require visa sponsorship for
employment at Sift? -*
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Diverse data fuels our technology and community. We partner with
industry leaders to deliver end-to-end solutions for our customers.
It's simple, we make better decisions as a business when we can
harness diversity in thought, experience, data, and background.
Sift is working toward building a team that represents the
world-wide customers that we serve, inclusive of people from all
walks of life who can bring their full selves to work every day, so
we can Win as One Team. We want to hold ourselves accountable to
incorporating inclusion into every step of our candidate and
employee journey. We still have a lot to learn, but you can help.
We invite applicants to voluntarily self-identify as to their
gender, sexual orientation, race/ethnicity, ability and veteran
status. Either way, we promise to treat this data with care. Any
stored data will be maintained with confidentiality in mind and it
will not be considered in our hiring decisions.
Keywords: Sift Science, Washington DC , Software Engineer, Data Platform, IT / Software / Systems , Washington, DC
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