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Data Elixir Jobs (NOW HIRING)

CoinList

Senior Software Engineer

$180K - $195K/yr

Stay critical. * Work across the stack - backend (Elixir/Phoenix + REST APIs) and frontend ... Strong grasp of system design, data structures, and clean code principles How You Work * You're AI ...

Octagon Talent

Lead Elixir Platform Engineer

Miami, FL

$170K - $250K/yr

They're not just building APIs -- they're creating the data rails for the decentralized economy, supporting everything from real-time transaction monitoring to decentralized asset management. With ...

OneCloud, Inc.

Backend Engineer

New York, NY

... data processing, infrastructure, monitoring, and a plethora of new features we have planned. What you'll be doing: * Writing backend systems in Golang, Elixir, and Ruby: We have an architecture that ...

Waymark

Senior/Principal Data Engineer

$128K - $177K/yr

... Elixir) * Deep understanding of distributed systems, cloud computing, and backend system design ... Design data integration systems resilient to inconsistent, incomplete, and delayed clinical data ...

Waymark

OR

$125K - $172K/yr

... Elixir) * Deep understanding of distributed systems, cloud computing, and backend system design ... Design data integration systems resilient to inconsistent, incomplete, and delayed clinical data ...

Waymark

Junior Software Engineer

OR · On-site +1

$82K - $106K/yr

We experiment to improve, actively seeking data to inform decisions and to assess our own ... No prior Elixir experience required - we'll teach it. What you'll do in your first six months

Waymark

Junior Software Engineer

$82K - $106K/yr

We experiment to improve, actively seeking data to inform decisions and to assess our own ... No prior Elixir experience required - we'll teach it. What you'll do in your first six months

True Anomaly

Software Integration Engineer

Long Beach, CA · On-site

$113K - $152K/yr

... data analysis systems • Lead architectural improvements through hands-on implementation ... C++, Elixir, TypeScript, backend services, distributed systems, developer tooling, and mission ...

Lunar

Staff Frontend Engineer

San Francisco, CA · On-site

$190K - $250K/yr

On the backend, we've embraced Elixir for its fault tolerance, concurrency, and scalability - essential for handling real-time patient data in mission-critical settings like Emergency Departments ...

LiveFlow

Senior Full Stack Engineer

New York, NY · On-site

Crafting beautifully simple abstractions to enable adaptable, frictionless UX * Handling our own and customers' data securely and compliantly OUR STACK: On the backend, we've got an Elixir/Phoenix ...

True Anomaly

Software Integration Engineer

Denver, CO · On-site

$107K - $144K/yr

... data analysis systems • Lead architectural improvements through hands-on implementation ... C++, Elixir, TypeScript, backend services, distributed systems, developer tooling, and mission ...

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Data Elixir information

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How much do data elixir jobs pay per year?

As of Jul 11, 2026, the average yearly pay for data elixir in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals curating data science newsletters like Data Elixir, and how can they be addressed?

Professionals curating data science newsletters such as Data Elixir often face challenges in sifting through vast amounts of content to identify high-quality, relevant articles for their audience. Staying up-to-date with rapidly evolving industry trends while maintaining a consistent publishing schedule can also be demanding. To address these challenges, curators often rely on a combination of automated tools for content discovery, strong editorial judgment, and active engagement with the data science community to ensure they feature valuable and timely resources. Collaboration with contributors and clear communication with subscribers further supports an effective newsletter workflow.

What is the difference between Data Elixir vs Data Analyst?

AspectData ElixirData Analyst
CredentialsTypically no formal credentials required; focus on data literacyBachelor's degree in data science, statistics, or related field often preferred
Work EnvironmentConference, newsletter, or community platform for data professionalsOffice or remote setting analyzing data sets and generating reports
Industry UsageUsed by data professionals for networking and learningEmployed by companies across industries to interpret data and support decision-making
Search & Comparison IntentPeople exploring data communities or resourcesIndividuals seeking data analysis roles or skills development

Data Elixir is a community platform or newsletter for data professionals, focusing on networking and learning. Data Analysts are roles within organizations that analyze data to inform business decisions. While Data Elixir provides resources and community engagement, Data Analysts perform the actual data interpretation work. Both are integral to the data industry but serve different purposes.

What is Data Elixir and what does a professional in this role do?

Data Elixir is not a traditional job title, but rather the name of a popular newsletter and online resource focused on data science, analytics, and machine learning. Professionals who contribute to or curate Data Elixir are typically involved in gathering, summarizing, and sharing the latest news, tools, and resources relevant to the data science community. Their work helps data professionals stay updated on new developments, best practices, and opportunities within the field. If you're interested in data science, following Data Elixir can be a valuable way to keep informed.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and programming languages like Python or R is typically required. Attention to detail, effective communication, and problem-solving abilities distinguish top performers in this field. These skills enable analysts to extract actionable insights from complex data, supporting strategic business decisions.
More about Data Elixir jobs
What are the most commonly searched types of Data Elixir jobs? The most popular types of Data Elixir jobs are:
What job categories do people searching Data Elixir jobs look for? The top searched job categories for Data Elixir jobs are:
Data Elixir jobs near you
Infographic showing various Data Elixir job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Enterprise Technical / Data Architect

Enterprise Technical / Data Architect

KR Elixir, Inc.

Atlanta, GA • On-site

Other

Posted 4 days ago

Job description

Enterprise Data Architect

6-12 Months Contract to Hire

Atlanta, GA

Key Accountabilities

  • Leads the Enterprise Data Architecture across the eco-system with focus on:
    • Cloud Platforms in Google Cloud, AWS, and Salesforce
    • On-premises and PaaS platforms such as Oracle, Corporate Systems, and Financial Systems
    • Big Data Tools in Google Cloud
    • ETL & Data Integration
    • Data Governance & Quality
    • Data Security
    • Data Compliance & Residency
  • Responsible for cataloging and defining the Data architectural artifacts including Data Flows, Logical & Physical Data Models, Data integrations, and more.
  • Leads the architectural efforts of large, complex projects (e.g., a family of products or IT services) involving multiple vendors, multiple technologies, leading‐edge technologies, and broad implications for architecture and develops roadmap incorporating industry best practices.
  • Supports the development of complex proposals related to integrating multiple architecture domains (i.e., process, application, data, infrastructure).
  • Manages the architectural lifecycle, ensuring that engineering and maintenance phases conform to the architecture.
  • Makes strategic decisions about system design, implementation, and maintenance.
  • Analyzes systems and processes from end to end.
  • Analyzes quality attributes of solutions and evaluates the technical and economic feasibility of proposed solutions.
  • Interacts with clients or senior management in geographically and/or socially diverse teams on strategic operations, serving as an expert in several specialties or components.
  • Participates as a member of a team to assess and recommend a migration strategy to new technologies.
  • Displays collaboration & leadership by leveraging communication skills to liaise with senior management, business leaders, and IT teams to ensure alignment on data strategy.
  • Enable cross-functional collaboration by working closely with software developers, data engineers, security teams, and business analysts to implement data solutions.
  • Stays current on the latest technologies and trends.

Required Skills:

  • Data Focused:
    • Data Warehouse ecosystems
    • Data Design Principles and Best Practices
    • Reporting and Analytics Design Platforms
    • Data Platforms knowledge for Data Residency decisions
    • BI tools
    • Analytic Tools
    • Decision Science Experience, including Machine Learning or Artificial Intelligence
    • Forecast and Demand Planning Applications
    • Master Data Management Applications
    • Relational & NoSQL Databases
  • Middleware Focused:
    • Enterprise Caching Architectures
    • Messaging Based Architecture e.g. Kafka
    • Micro Service Architecture
    • Public Facing APIs and API Gateways
    • Enterprise Integration Patterns
    • Data Transformation and ETL

Hot Skills:

  • Cloud Focused:
    • Google Cloud & Big Query
    • Salesforce and Data Cloud
    • AWS and cloud-native architectures
  • Data Focused:
    • Hospitality Data
    • Big Data
    • Relational Data
    • BI Tools & Reporting (Tableau, Power BI, or Looker)

Thanks & Regards, 

 

Basavaraj Badiger
Recruitment Manager   

  

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