Senior Data Engineer, 1

Dotdash Meredith; New York (NY); Hybrid; USD 140,000 - 170,000; Full time

Job summary

Dotdash Meredith, a leader in digital media, seeks a Senior Data Engineer skilled in Python and SQL to join their Data Operations team. The role involves building data integration pipelines and collaborating with stakeholders to ensure data integrity. This position offers remote flexibility, demanding a presence in the office three times per month. Ideal candidates have 3+ years of experience in data engineering and a strong educational background in quantitative fields.

Benefits

Unlimited paid time off (PTO)

Medical, dental, and vision coverage

401K savings plan with company match

Adoption assistance

Tuition reimbursement

Qualifications

• Minimum of 3+ years of experience in building data pipelines.
• Experience in writing complex SQL queries.
• Familiar with data streaming architectures.

Responsibilities

• Enhance systems by building new data integration pipelines.
• Optimize data transformation and consumption processes.
• Ensure security and stability of infrastructure.

Skills

Python

SQL

Education

Degree in a quantitative field

Tools

Google Cloud Platform

Apache Spark

AWS

Job description

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Pay found in job post

Retrieved from the description.

Base pay range

$140,000.00/yr - $170,000.00/yr

Job Title

Senior Data Engineer, 1

Job Description

About The Position | Major goals and objectives and location requirements

Dotdash Meredith is a leading digital media company that owns and operates a portfolio of highly respected brands across various verticals, including lifestyle, health, finance, and more. With a commitment to providing high-quality content and innovative digital experiences, Dotdash Meredith reaches millions of users globally and continues to drive growth and engagement across its platforms.

Dotdash Meredith is looking for a Senior Data Engineer with strong Python and SQL skills to join the Data Operations team. The successful candidate will help build our data integration pipelines that feed into our data lakes and warehouses while maintaining data quality and integrity in our data stores. We are looking for someone who is a great team player but can also work independently. This person will also work closely with key stakeholders and understand and implement business requirements and see to it that data deliverables are met.

Remote or Hybrid 3x a month

In-office Expectations: This position offers remote work flexibility; however, if you reside within a commutable distance to one of our offices in New York, Des Moines, Birmingham, Los Angeles, Chicago, or Seattle, the expectation is to work from the office three times per month

About The Positions Contributions

Weight %

Accountabilities, Actions and Expected Measurable Results

60%

• You will enhance our systems by building new data integration pipelines and adding new data to our data lakes and warehouses while continuously optimizing them.
• You will work with internal team members as well as stakeholders to scope out business requirements and see data deliverables through to the end where they will be used via our Looker platform.
• You will continuously look for ways to improve our data transformations and data consumption processes so that our systems are running efficiently, and our customers are able to use and analyze our data quickly and effectively.
  
  

40%

• You will champion coding standards and best practices by actively participating in code reviews, and working to improve our internal tools and build process.
• You will work to ensure the security and stability of our infrastructure in a multi-cloud environment.
• You will collaborate with our Analytics engineers to ensure data integrity and the quality
• of our data deliverables.
  
  

Education

The Role’s Minimum Qualifications and Job Requirements

• Degree in a quantitative field, such as computer science, statistics, mathematics, engineering, data science, or equivalent experience.
  
  

Experience

• A minimum of 3+ years of experience in building and optimizing data pipelines with Python.
• You have experience writing complex SQL queries to analyze data.
• You have commendable experience with at least one cloud service platform (GCP and AWS preferred).
• You've worked with data at scale using Apache Spark, Beam or a similar framework.
• You're familiar with data streaming architectures using technologies like Pub/Sub and Apache Kafka.
• You are eager to learn about new tech stacks, big data technologies, data pipelining architectures, etc. and propose your findings to the team to try and optimize our systems.
  
  

Specific Knowledge, Skills, Certifications And Abilities

• Strong Python and SQL skills.
• Experience with Google Cloud Platform is a plus.
  
  

% Travel Required (Approximate): 0%

It is the policy of Dotdash Meredith to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Company will provide reasonable accommodations for qualified individuals with disabilities. Accommodation requests can be made by emailing [e-mail].

The Company participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here: https://www.e-verify.gov/employees

Pay Range

Salary: New York: $140,000.00 - $170,000.00

The pay range above represents the anticipated low and high end of the pay range for this position and may change in the future. Actual pay may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. The range listed is just one component of Dotdash Meredith’s total compensation package for employees. Other compensation may include annual bonuses, and short- and long-term incentives. In addition, Dotdash Meredith provides to employees (and their eligible family members) a variety of benefits, including medical, dental, vision, prescription drug coverage, unlimited paid time off (PTO), adoption or surrogate assistance, donation matching, tuition reimbursement, basic life insurance, basic accidental death & dismemberment, supplemental life insurance, supplemental accident insurance, commuter benefits, short term and long term disability, health savings and flexible spending accounts, family care benefits, a generous 401K savings plan with a company match program, 10-12 paid holidays annually, and generous paid parental leave (birthing and non-birthing parents), all of which may vary depending on the specific nature of your employment with Dotdash Meredith and your work location. We also offer voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance.

#NMG#

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Book and Periodical Publishing

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