SelectQuote

Data Engineer III

SelectQuote • $115K — $130K *
US-AnywhereRemote in United States
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Engineering, Computer Science, or related field required.
  • 6+ years of experience working with Data systems or equivalent training.
  • 4+ years of experience troubleshooting stored procedures and T-SQL code.
  • 4+ years of experience with Airflow or equivalent.
  • 4+ years of experience in Python coding using advanced modules like Pandas and Numpy.
  • Experience with AWS systems and concepts for data engineering like S3 and Lambda.
  • Experience with in-memory databases such as Redis and Elasticache.

Responsibilities

  • Maintain and enhance existing data engineering solutions.
  • Communicate business and technical requirements effectively.
  • Determine and develop accurate solutions based on business needs.
  • Collaborate to integrate data sources and improve consistency.
  • Lead complex projects ensuring they deliver business value.
  • Mentor junior engineers on best practices in data engineering.

Benefits

  • Competitive Medical, Dental, and Vision Insurance
  • HSA/FSA options
  • Voluntary Insurance options (Hospital Indemnity, Critical Illness, Accident)
  • Company-paid Basic Life Insurance and Long Term Disability
  • Retirement plan with Employer match and Profit Sharing
  • Tuition Reimbursement program
  • Engaging Wellness and Financial Education Resources
  • Employee Assistance Program
  • Incentive Plans
Full Job Description
About the Role

Responsible for developing Data Engineering solutions with a strong understanding of data engineering concepts and the ability to apply those concepts broadly across multiple technologies. The Data Engineer III improves processes and methodologies across multiple projects and solutions. The Data Engineer III plays a leadership role within Enterprise Analytics leading improvement teams to enhance the department's performance and serves as a mentor to junior Data Engineers and colleagues.

Supervisory Responsibilities:
  • This position has no direct supervisory responsibilities.


Essential Duties and Responsibilities:
  • Maintain existing data engineering solutions while looking for opportunities to improve them.
  • Communicate both business requirements and technical terms with a high degree of understanding.
  • Determine business requirements and create solutions while maintaining a high level of accuracy and data integrity.
  • Collaborate with other team members to consolidate the data landscape to reduce the development time and increase consistency among data engineering solutions.
  • Lead and design complex projects and ensure their complete and accurate execution with an emphasis on delivering business value.
  • Train and coach junior engineers in data engineering best practices.


Skills/Abilities:
  • Strong analytical skills
  • Comfortable working with source control (Bitbucket git GitHub)
  • Knowledge of different file formats including but not limited to JSON CSV Parquet and fixed-width
  • Objectivity and openness to others' views providing solutions and creative input
  • Ability to adjust when there is a shift in priorities
  • Excellent communicator with individuals and groups at all levels within the organization
  • Detail-oriented organized and able to manage user expectations
  • Good organizational time management and listening skills
  • Self-motivated learner
  • Excited to work with new and different technologies
  • Understanding of data engineering and ETL/ELT concepts with an ability to apply those concepts to multiple technologies


Education and Experience:
  • Bachelor's degree in Engineering, Computer Science, or related field required.
  • 6+ years of experience working within Data systems or equivalent training
  • 4+ Years of strong experience troubleshooting stored procedures and other T-SQL code
  • 4+ years of Experience with Airflow or equivalent training
  • 4+ years of experience in Python coding using advanced modules Pandas Numpy and other libraries
  • Experience working with C# or other statically typed languages is a plus
  • Experience working with external REST APIs
  • Microsoft SQL Server 2019 or later
  • Microsoft SQL Server performance tuning
  • Experience with AWS systems and concepts for data engineering Simple Storage Solutions (S3) Lambda boto3 SQS/SNS
  • Experience with in-memory databases such as Redis and Elasticache


Physical Requirements:

Work is performed indoors with potential for exposure to safety and health hazards related to office work. Could periodically travel to other office and operational sites. The noise level in the office is usually moderate.

Prolonged periods of sitting at a desk and working on a computer.

Our Benefits

The Compensation for this position is listed below. Local minimum wage laws apply. This information is posted pursuant to local requirements to provide applicants with information about what they might be eligible to receive. Individual pay decisions will depend on job-related factors such as experience, education, skill, performance, and geographic location where work will be performed.

Successful candidates may be able to participate in one or more incentive compensation or short-term incentive plans, which could generate additional earnings in accordance with the terms of each plan.

We are proud to offer the following benefits:
  • Competitive Medical, Dental, and Vision Insurance
  • HSA/FSA
  • Voluntary Hospital Indemnity, Critical Illness, Accident Insurance, and Short Term Disability
  • Voluntary Life Insurance for Self, Spouse and Dependent
  • Company-paid Basic Life Insurance and Long Term Disability
  • Retirement plan and Employer match contribution with Profit Share
  • Tuition Reimbursement program
  • Company perks and Discount program
  • Engaging Wellness and Financial Education Resources
  • Employee Assistance Program
  • Incentive Plans


Base Salary Minimum

$115,000

Base Salary Maximum

$130,000

About SelectQuote

Market Cap
$111.7 million
Industry
NASDAQ

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