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Senior Data Engineer
Axios New York, NY
$115k-147k (estimate)
Full Time | IT Outsourcing & Consulting 6 Months Ago
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Axios is Hiring a Remote Senior Data Engineer

Quick take: Axios is a growth-stage company dedicated to providing trustworthy, award-winning news content in an audience-first format. We’re hiring a remote Senior Data Engineer to join our Consumer Insights data team! 

Why it matters: As a Senior Data Engineer, this person will collaborate with other data engineers, scientists, analysts, and product managers to drive forward data initiatives across mission-critical Axios products. The team is responsible for analyzing consumer behavior, preferences, and feedback, to allow Axios to tailor products, services, and marketing strategies effectively.

Go deeper: As a Senior Data Engineer, you will play a leadership role in building and delivering solutions to problems in an intelligent and nuanced way. In this role, you will make an impact on Axios through the following responsibilities:

  • Architect and build data products and features that provide consumer insights about Axios’ audience
  • Hands-on development and execution against the team’s roadmap in collaboration with other data engineers, analysts, scientists, and quality engineers. 
  • Technical and architectural decision-making
  • Develop and maintain data pipelines and warehouses to support Axios in data-informed decision-making 
  • Writing clean, well-documented, and well-tested code primarily in SQL/Python
  • Provide technical insights, and feasibility assessments, communicate technical constraints to the team’s Product Manager
  • Estimate efforts of technical implementation to aid in planning and sequencing of developmental tasks
  • Mentoring less experienced members of the team through pair programming and empathetic code review
  • Share knowledge through presenting at data chapter meetings and demoing to team members and stakeholders
  • Staying up to date with industry trends and collaborating on best practices

The details: Ideal candidate should have an entrepreneurial spirit, be highly collaborative, exhibit a passion for building technology products, and have the following qualifications:

  • Experience with or knowledge of Agile Software Development methodologies
  • Experience building data applications in languages such as (but not limited to) Python, SQL, Bash, Jinja, Terraform 
  • Experience designing, building, and maintaining data pipelines to produce insights
  • Experience with functional design and dimensional data modeling
  • Experience with DBT and semantic data models
  • Experience with data pipeline development and data orchestration systems such as Airflow
  • Practical experience with columnar data warehouses, such as Redshift
  • Experience working with CI/CD pipelines and understanding best deployment practices for data products 
  • Proven ability to ship high-quality, testable, and accessible code quickly
  • Experience working in and around cloud providers such as AWS

 Bonus experiences:

  • Experience working in and around AWS data services
  • Experience working with Data Scientists, Machine Learning Engineers or supporting MLOps 
  • Experience working with MapReduce and Spark clusters
  • Experience successfully working with data product managers
  • Experience working in Media 

Don’t forget:

  • Competitive salary
  • Health insurance (100% paid for individuals, 75% for families)
  • Primary caregiver 12-week paid leave
  • 401K
  • Generous vacation policy, plus company holidays
  • A commitment to an open, inclusive, and diverse work culture
  • Annual learning and development stipend

Additional pandemic-related benefits:

  • One mental health day per quarter
  • $100 monthly work-from-home stipend
  • Company-sponsored access to Ginger coaching and mental health support 
  • OneMedical membership, including tele-health services 
  • Increased work flexibility for parents and caretakers 
  • Access to the Axios “Family Fund”, which was created to allow employees to request financial support when facing financial hardship or emergencies 
  • Class pass discount
  • Virtual company-sponsored social events

Starting salary for this role is in the range of $170,000 - $190,000 and is dependent on numerous factors, including but not limited to location, work experience, and skills. This range does not include other compensation benefits.

Equal Opportunity Employer Statement

Axios is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, age, gender identity, gender expression, veteran status, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Axios makes hiring decisions based solely on qualifications, merit, and business needs at the time.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$115k-147k (estimate)

POST DATE

10/05/2023

EXPIRATION DATE

05/01/2024

WEBSITE

iprsecure.com

HEADQUARTERS

WILMINGTON, DE

SIZE

25 - 50

FOUNDED

2007

CEO

JOHN KOFFLER

REVENUE

$10M - $50M

INDUSTRY

IT Outsourcing & Consulting

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The job skills required for Senior Data Engineer include Initiative, Leadership, Collaboration, Flexibility, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Engineer job description and responsibilities

The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

03/09/2022: Billings, MT

The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

01/05/2022: Melbourne, FL

Create architecture for real-time, big data applications with minimal maintenance effort.

03/23/2022: Benton Harbor, MI

Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.

01/22/2022: Greenville, MS

Provides successful deployment and provisioning of data solutions to production or other required environments.

01/12/2022: Dothan, AL

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

02/06/2022: Providence, RI

Earn a bachelor’s degree related to data engineering and begin working on projects.

02/16/2022: Denver, CO

Consider pursuing additional professional engineering or big data certifications.

03/06/2022: Raleigh, NC

Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

01/24/2022: Abilene, TX

Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

01/02/2022: New York, NY

Step 3: View the best colleges and universities for Senior Data Engineer.

Butler University
Carroll College
Cooper Union
High Point University
Princeton University
Providence College
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