MEM
Join to apply for the
Data Engineer I (Remote)
role at
MEM Join to apply for the
Data Engineer I (Remote)
role at
MEM Are you passionate about building robust data systems that power analytics and innovation? MEM Insurance is seeking a
Data Engineer
to join our dynamic team. In this role, you will design and optimize data pipelines, integrate systems, and ensure data quality to support data science, analytics, and software delivery. Your work will directly impact how we deliver insights and solutions to our customers and internal teams. Work with the data engineering team to design, build, and optimize scalable data pipelines that extract, transform, and load (ETL) data from various sources into the company’s data infrastructure, ensuring data is accurate, accessible, and ready for downstream processes. This includes working with both batch and real-time (streaming) data flows. With guidance from senior members of the Data Engineering team, periodically assess existing data workflows, pipelines, and infrastructure to identify bottlenecks, inefficiencies, or areas where performance can be improved. This may involve tuning queries, optimizing ETL processes, refactoring code, or implementing new tools and technologies to enhance overall data performance. Participate in an on-call rotation to monitor, troubleshoot, and resolve issues related to overnight data processing jobs. This includes ensuring nightly ETL processes, batch jobs, and other critical data workflows are running smoothly and addressing any failures or delays in a timely manner to minimize business disruption. Data Integration & API Development
Implement APIs and other integration tools to support data ingestion from multiple systems, enabling seamless data movement across platforms, applications, and third-party services. Work closely with other Data Engineers, software engineers, and product development teams to ensure the necessary data pipelines, APIs, and databases are available and integrated into the company’s applications and products. Provide guidance and troubleshooting assistance related to data needs during the software development lifecycle, including testing and deployment stages. Cross-Functional Collaboration & Data Enablement
Collaborate with cross-functional and delivery team members, including analysts, data scientists, and business units, to create well-structured, accurate, and efficient data sets that meet reporting, dashboarding, and analytical needs. Ensure the data sets are tailored for ease of use and optimized for performance in reporting tools. Data Quality, Validation & Governance
Ensure data integrity by designing and enforcing rigorous quality control measures at the point of data entry. This includes implementing validation checks, error handling, and monitoring solutions to detect and prevent data anomalies, ensuring that only accurate and complete data is ingested into the systems. Contribute to a culture of continuous learning and improvement by engaging in regular code reviews and peer feedback sessions. Review the work of team members to ensure adherence to best practices, coding standards, and data governance principles, while also offering constructive feedback to help improve the overall quality of the team’s outputs. Qualifications
Education: Degree in Computer Science or related field. Certifications: Preferred certifications in cloud technologies (Azure, AWS) or data engineering. Experience: 1+ years in data or software engineering roles. Hands-on experience with CI/CD tools, cloud platforms, and data warehouses/lakes. Familiarity with ETL processes and API development. Insurance industry experience preferred. Other: Valid driver’s license required. Company Culture And Values
At MEM Insurance, we live by our vision, mission, and values. We believe in fostering a culture of collaboration, innovation, and accountability. Our employees are at the heart of everything we do, and we are committed to creating an environment where you can thrive professionally and personally. We value diversity and inclusion, ensuring every team member feels respected and empowered to contribute their unique perspectives. Total Rewards Overview
Health Plans:
Medical, Dental, and Vision Fertility benefits and fully paid preventative care Adult orthodontia and comprehensive dental coverage Fully Employer-Paid Life and Disability Benefits:
Life Insurance (3x base salary) Accidental Death and Dismemberment Short and Long-term Disability Wellness and Recognition:
Employer-paid incentives for employees and spouses Flexible Spending Account and Dependent Care options Health Savings Account with generous employer contribution 401k Retirement Plan with employer match and profit sharing Time Away from Work:
Generous PTO accruals 11 Holidays and 4 Early releases 16 Hours of Volunteer Time Off 20 days of paid parental leave Marriage, Bereavement, and Jury Duty leave Additional Benefits:
Employee Assistance Programs Adoption Assistance Tuition Assistance Join MEM Insurance and take the next step in your data engineering career with a company that values your expertise and dedication. Apply today! Seniority level
Entry level Employment type
Full-time Job function
Information Technology Industries
Insurance Referrals increase your chances of interviewing at MEM by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Tuition assistance Get notified about new Data Engineer jobs in
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Data Engineer I (Remote)
role at
MEM Join to apply for the
Data Engineer I (Remote)
role at
MEM Are you passionate about building robust data systems that power analytics and innovation? MEM Insurance is seeking a
Data Engineer
to join our dynamic team. In this role, you will design and optimize data pipelines, integrate systems, and ensure data quality to support data science, analytics, and software delivery. Your work will directly impact how we deliver insights and solutions to our customers and internal teams. Work with the data engineering team to design, build, and optimize scalable data pipelines that extract, transform, and load (ETL) data from various sources into the company’s data infrastructure, ensuring data is accurate, accessible, and ready for downstream processes. This includes working with both batch and real-time (streaming) data flows. With guidance from senior members of the Data Engineering team, periodically assess existing data workflows, pipelines, and infrastructure to identify bottlenecks, inefficiencies, or areas where performance can be improved. This may involve tuning queries, optimizing ETL processes, refactoring code, or implementing new tools and technologies to enhance overall data performance. Participate in an on-call rotation to monitor, troubleshoot, and resolve issues related to overnight data processing jobs. This includes ensuring nightly ETL processes, batch jobs, and other critical data workflows are running smoothly and addressing any failures or delays in a timely manner to minimize business disruption. Data Integration & API Development
Implement APIs and other integration tools to support data ingestion from multiple systems, enabling seamless data movement across platforms, applications, and third-party services. Work closely with other Data Engineers, software engineers, and product development teams to ensure the necessary data pipelines, APIs, and databases are available and integrated into the company’s applications and products. Provide guidance and troubleshooting assistance related to data needs during the software development lifecycle, including testing and deployment stages. Cross-Functional Collaboration & Data Enablement
Collaborate with cross-functional and delivery team members, including analysts, data scientists, and business units, to create well-structured, accurate, and efficient data sets that meet reporting, dashboarding, and analytical needs. Ensure the data sets are tailored for ease of use and optimized for performance in reporting tools. Data Quality, Validation & Governance
Ensure data integrity by designing and enforcing rigorous quality control measures at the point of data entry. This includes implementing validation checks, error handling, and monitoring solutions to detect and prevent data anomalies, ensuring that only accurate and complete data is ingested into the systems. Contribute to a culture of continuous learning and improvement by engaging in regular code reviews and peer feedback sessions. Review the work of team members to ensure adherence to best practices, coding standards, and data governance principles, while also offering constructive feedback to help improve the overall quality of the team’s outputs. Qualifications
Education: Degree in Computer Science or related field. Certifications: Preferred certifications in cloud technologies (Azure, AWS) or data engineering. Experience: 1+ years in data or software engineering roles. Hands-on experience with CI/CD tools, cloud platforms, and data warehouses/lakes. Familiarity with ETL processes and API development. Insurance industry experience preferred. Other: Valid driver’s license required. Company Culture And Values
At MEM Insurance, we live by our vision, mission, and values. We believe in fostering a culture of collaboration, innovation, and accountability. Our employees are at the heart of everything we do, and we are committed to creating an environment where you can thrive professionally and personally. We value diversity and inclusion, ensuring every team member feels respected and empowered to contribute their unique perspectives. Total Rewards Overview
Health Plans:
Medical, Dental, and Vision Fertility benefits and fully paid preventative care Adult orthodontia and comprehensive dental coverage Fully Employer-Paid Life and Disability Benefits:
Life Insurance (3x base salary) Accidental Death and Dismemberment Short and Long-term Disability Wellness and Recognition:
Employer-paid incentives for employees and spouses Flexible Spending Account and Dependent Care options Health Savings Account with generous employer contribution 401k Retirement Plan with employer match and profit sharing Time Away from Work:
Generous PTO accruals 11 Holidays and 4 Early releases 16 Hours of Volunteer Time Off 20 days of paid parental leave Marriage, Bereavement, and Jury Duty leave Additional Benefits:
Employee Assistance Programs Adoption Assistance Tuition Assistance Join MEM Insurance and take the next step in your data engineering career with a company that values your expertise and dedication. Apply today! Seniority level
Entry level Employment type
Full-time Job function
Information Technology Industries
Insurance Referrals increase your chances of interviewing at MEM by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Tuition assistance Get notified about new Data Engineer jobs in
Missouri, United States . Missouri, United States $101,200.00-$161,900.00 18 hours ago Missouri, United States $62,400.00-$112,400.00 1 day ago Data Analyst (Data Quality) / Data Quality Engineer
Kansas City, MO $60.00-$80.00 11 hours ago Missouri, United States $117,700.00-$188,300.00 1 week ago Missouri, United States $68,700.00-$123,700.00 2 months ago Missouri, United States $70.00-$75.00 2 weeks ago Mobile Software Engineer (Remote) #ESC6260
Kansas City, MO $80,000.00-$105,000.00 16 hours ago Remote Data Contributor (No experience needed) - Entry Level
Remote Data Contributor (No experience needed) - Entry Level
Software Engineer- Mobile Native (Remote) #ESC7428
Senior Software Engineer, Windows/Desktop Applications - St. Louis, USA
St Louis, MO $140,000.00-$200,000.00 1 week ago St Louis, MO $165,000.00-$215,000.00 1 month ago St Paul, MO $165,000.00-$215,000.00 1 month ago Sr. Software Engineer (.NET), Feature Development
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI>
#J-18808-Ljbffr