Senior Palantir Developer
Senior Palantir Developer
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Job Description
As a Data Engineer joining Logic20/20s Advanced Analytics practice youll help clients scale their data solutions and make data-driven decisions while driving enterprise-level innovation.
Youll work closely with the client to understand both their business processes and analytics needs to design and build data pipelines and cloud data solutions. You will have the opportunity to guide your client through best practices in data lake data processing and data pipeline design to help them achieve their business goals.
You will work closely withyour team including analysts dashboard developers and technical project managers to design solutions and work together to deliver aworld-class solution.
Youll strike a balance oftechnical skillsand business acumen tohelp clients better understandtheir core needs and what is possible for a future state.
What youll do:
- Design and develop cloud ELT and data pipelines
- Develop CI/CD pipelines and other DataOps fundamentals
- Communicate at the appropriate level to both business and technology teams to understand business needs and pain points
- Be creative in meeting the clients core needs with their technology
- Explain technical benefits and deficits to non-technical audiences
- Learn new data tools and best practices
Qualifications :
Required:
- 5 years of data engineering experience in a production environment
- 5 years of experience with PySpark and/or Python
- 2 years of experience working within Palantir Foundry or Foundry Pipeline Builder
- 2 years of experience working with Palantir Foundry Streams or a comparable real-time data streaming technology (e.g. Apache Kafka AWS Kinesis Google Pub/Sub)
- Experience designing and developing cloud ELT and data pipeline with various technologies such as Python SQL Airflow Talend Matillion DBT Fivetran
- Experience in working with business to understand the appropriate data model (relational tabular transactional) for their data solution
- Deep experience designing and building performant ELT jobs to move and transform data from various source types and performing exploratory data analysis data cleansing and aggregation
- Experience with scaling & automation to data preparation techniques
- Experience with developing and operating CI/CD pipelines and other DataOps fundamentals
- Experience developing client-facing core design documents: data flows source to target requirements data lineage and data dictionary.
- Understanding of data modeling (such as Kimball Inman Data Vault design approaches)
- Excellent foundation of consulting skills: analytical written and verbal communication and presentation skills
- Demonstrated ability to identify business and technical impacts of user requirements and incorporate them into the project schedule
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Compensation range: $129000 - $151000 annually
Learn more about life at Logic20/20!
Visit our Life at Logic page to explore our culture benefits and what makes Logic20/20 a great place to grow your career!
Core Values
At Logic20/20 we are guided by three core values: Drive toward Excellence Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employeesand they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at Opportunity Statement
We believe that people should be celebrated: for their talents ideas and skills but most of all for what makes them unique. We prohibit harassment and/or discrimination based on age race creed color religion sex national origin ancestry disability status veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by federal state or local law.
To learn more about our DE&I initiatives please visit: Policy
During the recruitment and hiring process we gather process and store some of your personal data. We consider data privacy a priority. For further information please view our company privacy policy.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
