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Remote Analytics Engineer information
See Lutz, FL salary details
$41.4K - $48.8K
4% of jobs
$48.8K - $56.3K
17% of jobs
$61.8K is the 25th percentile. Wages below this are outliers.
$56.3K - $63.7K
5% of jobs
$63.7K - $71.1K
4% of jobs
$71.1K - $78.6K
13% of jobs
The median wage is $83K / yr.
$78.6K - $86K
12% of jobs
$86K - $93.5K
7% of jobs
$100.5K is the 75th percentile. Wages above this are outliers.
$93.5K - $100.9K
14% of jobs
$100.9K - $108.3K
3% of jobs
$108.3K - $115.8K
12% of jobs
$115.8K - $123.2K
9% of jobs
$41.4K
$84.7K
$123.2K
How much do remote analytics engineer jobs pay per year?
What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?
Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.
What is a Remote Analytics Engineer job?
A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.
What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?
To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

Full-time
Medical, Dental, Vision, Retirement, PTO
Posted 9 days ago
Job description
We are currently looking for a Database Engineer for a 100% remote position on a large federal government project supporting the Department of Veterans Affairs (VA). In this role, you will join a collaborative Agile team of software engineers, DevOps engineers, business analysts, and technical stakeholders to design, administer, and optimize enterprise database solutions that support mission-critical healthcare applications. You will leverage PostgreSQL, Microsoft SQL Server, AWS, Azure, and automation tools to deliver secure, scalable, and high-performing database environments.
The candidate must reside within the continental US.
Responsibilities- Design, develop, and maintain PostgreSQL and Microsoft SQL Server databases, including database architecture, schemas, tables, stored procedures, indexes, permissions, and other database objects.
- Monitor, troubleshoot, and optimize database performance to ensure high availability, data integrity, scalability, and efficient query execution.
- Develop SQL queries, reports, materialized views, and database solutions to support application development, analytics, and business reporting.
- Implement and maintain backup, recovery, replication, failover, and disaster recovery strategies for on-premises and cloud-based database environments.
- Collaborate with developers, analysts, DevOps engineers, and technical stakeholders to design, implement, document, and support enterprise database solutions.
- Evaluate emerging database technologies, recommend process improvements, and support the continuous optimization of database infrastructure and Platform-as-a-Service (PaaS) environments.
- Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
- Bachelor's degree in Information Technology, Computer Science, Engineering, or an equivalent discipline.
- Minimum of five (5) years of professional experience in database engineering, database administration, or a related role.
- Experience administering and optimizing PostgreSQL and Microsoft SQL Server databases.
- Experience supporting cloud-based database environments within AWS and Azure.
- Experience implementing database migration, backup, recovery, replication, and disaster recovery strategies.
- Experience working within Agile software development environments and supporting CI/CD processes.
- Strong expertise in PostgreSQL, Microsoft SQL Server, SQL development, database performance tuning, and query optimization.
- Proficiency with one or more programming languages such as Java or Python.
- Experience with AWS and Azure cloud platforms, including database deployment, administration, and management.
- Experience using Infrastructure as Code (IaC) and automation tools such as Terraform, CloudFormation, Ansible, or similar technologies.
- Familiarity with DevOps practices, CI/CD pipelines, and database monitoring tools.
- Experience supporting legacy databases and Platform-as-a-Service (PaaS) database solutions.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to collaborate effectively with customers, stakeholders, and cross-functional teams.
- Strong organizational skills and attention to detail.
- Ability to manage multiple priorities while working independently in a remote environment.
- Experience supporting the Department of Veterans Affairs (VA) or other federal government agencies.
- Experience working within SAFe or Agile software development methodologies.
- Knowledge of advanced PostgreSQL features, including JSON, full-text search, PostGIS, WAL archiving, replication, and point-in-time recovery.
- AWS, Azure, MongoDB, or other database-related certifications are preferred.
- Experience working within a DevSecOps environment.
- Ability to obtain and maintain a U.S. Government Public Trust or other required government clearance.
- Medical, Dental, and Vision Insurance.
- 401(k) with Employer Match.
- Paid Time Off (PTO) plus Federal Holidays.
- Corporate Laptop.
- Training Opportunities.
- 100% Remote Opportunity.
Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.
VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.
Employment Type: FULL_TIMEAbout VetsEZ
Sourced by ZipRecruiter
Industry
It services
Company size
51 - 200 Employees
Headquarters location
San Diego, CA, US
Year founded
2012