Senior Palantir Developer

Remote: 
Full Remote
Contract: 
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Offer summary

Qualifications:

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, Excellent foundation of consulting skills, including analytical, written, and verbal communication..

Key responsibilities:

  • Design and develop cloud ELT and data pipelines
  • Communicate with both business and technology teams to understand needs and pain points
  • Develop CI/CD pipelines and other DataOps fundamentals
  • Guide clients through best practices in data lake and data pipeline design.

Logic20/20, Inc. logo
Logic20/20, Inc. SME https://www.logic2020.com/
201 - 500 Employees
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Job description

Company Description

Logic20/20 invests in being a “Best Company to Work For,” where talented people come together to deliver exceptional solutions. We bring clarity, insights, and optimization to enterprise organizations spanning technology, telecommunications, utilities, healthcare, and more. 

We thrive as One Team, built on values: 

  • We Foster a Culture of We by prioritizing connection and collaboration.  
  • We Drive toward Excellence by investing in professional growth and cultivating thought leadership.  
  • We Act with Integrity by doing the right thing and bringing our best selves to the table.  

To make it all possible, we’ve created programs, resources, and benefits that promote connection and help you evolve your career. 

Job Description

As a Data Engineer joining Logic20/20’s Advanced Analytics practice, you’ll help clients scale their data solutions and make data-driven decisions while driving enterprise-level innovation.    

You’ll 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 with your team, including analysts, dashboard developers, and technical project managers to design solutions and work together to deliver a world-class solution.    

You’ll strike a balance of technical skills and business acumen to help clients better understand their core needs and what is possible for a future state. 

What you’ll 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 client’s 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: $129,000 - $151,000 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 employees—and they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at https://www.logic2020.com/company/our-values

Equal 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: https://www.logic2020.com/company/diversity-equity-inclusion  

Privacy 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

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Analytical Skills

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