Senior Data Engineer
Tampa, FL · On-site +1
$65 - $75/hr
Remote Interview Process/# of Rounds: 1st round technical screening via Teams Video; 2nd round ... Looker, etc
Senior Data Engineer
Tampa, FL · On-site +1
$65 - $75/hr
Remote Interview Process/# of Rounds: 1st round technical screening via Teams Video; 2nd round ... Looker, etc
Remote Looker Developer information
What are the key skills and qualifications needed to thrive as a Remote Looker Developer, and why are they important?
To thrive as a Remote Looker Developer, you need strong skills in SQL, data modeling, and business intelligence, typically supported by experience with Looker and a background in computer science or data analytics. Familiarity with LookML, version control systems (such as Git), and cloud data warehouses like BigQuery or Redshift is essential. Excellent communication, problem-solving abilities, and self-motivation are important soft skills for collaborating virtually and translating business requirements into data solutions. These skills ensure effective data visualization, actionable insights, and seamless teamwork in a remote environment.
What are some common challenges faced by Remote Looker Developers, and how can they be addressed?
Remote Looker Developers often encounter challenges such as collaborating effectively with distributed data teams, managing different time zones, and ensuring data security across remote environments. To address these, it's important to establish clear communication channels (like Slack or project management tools), schedule regular check-ins, and follow best practices for version control and documentation. Utilizing secure VPN connections and adhering to company data governance policies also helps maintain data integrity and compliance while working remotely.
What is a Remote Looker Developer?
A Remote Looker Developer is a data professional who specializes in creating, managing, and optimizing data models, dashboards, and reports using Looker, a business intelligence and data visualization platform. They work remotely, collaborating with teams via digital communication tools to gather requirements, transform data sources, and deliver analytics solutions that help organizations make data-driven decisions. Remote Looker Developers are skilled in LookML (Looker's modeling language), SQL, and often have experience with cloud data warehouses and analytics best practices.
What is the difference between Remote Looker Developer vs Data Analyst?
| Aspect | Remote Looker Developer | Data Analyst |
|---|---|---|
| Primary Role | Designing and developing dashboards and reports using Looker | Analyzing data to identify trends and insights |
| Skills & Certifications | Looker certifications, SQL, data modeling | Excel, SQL, data visualization tools |
| Work Environment | Remote, tech-focused teams in various industries | Remote or on-site, across multiple industries |
| Employer Usage | Companies using Looker for BI solutions | Organizations seeking data-driven decision making |
While both roles involve working with data, a Remote Looker Developer specializes in creating dashboards and reports within Looker, requiring technical skills like data modeling and Looker certifications. A Data Analyst focuses on interpreting data to provide insights, often using a broader set of tools. Both roles can be remote and are vital in data-driven organizations, but their core responsibilities differ.
What are popular job titles related to Remote Looker Developer jobs in New Port Richey, FL? For Remote Looker Developer jobs in New Port Richey, FL, the most frequently searched job titles are:
What cities near New Port Richey, FL are hiring for Remote Looker Developer jobs? Cities near New Port Richey, FL with the most Remote Looker Developer job openings:
$65 - $75/hr
Other
This job post has expired 1 day ago. Applications are no longer accepted.
Job description
Position: Senior Data Engineer
Location: 217 Broadway, 8th Floor, New York, NY 10007, US
Work Auth: Not open to sponsorship
Pay rate: $65-75 w2 max | max: $70/hr on c2c
Duration: 6 months +
Visa-USC/GC
Hybrid or Remote?: Remote
Interview Process/# of Rounds: 1st round technical screening via Teams Video; 2nd round technical panel / system deep dive with the engineering team - OFFER
JD:
Job Title: Data Engineering Contractor
Department: Technology
bout the Role:
Join our dynamic team of talented engineers with a proven track record in constructing data
warehouses, lakes, and pipelines. We are on a mission to fuel Unite Us' ongoing expansion and
enhance its positive influence on both the healthcare industry and individuals nationwide. As part
of our team, your role will be instrumental in collecting, processing, and delivering data to both
internal and external stakeholders. This pivotal work empowers us to intelligently invest in
emerging opportunities, quantifying the value and ROI that Unite Us networks bring to our
customers. By leveraging your expertise, you will help establish Unite Us as a thought leader in
the dynamic social care landscape. Become an integral part of our team and help us in shaping
the future of healthcare and making a meaningful impact on the lives of people across the
country.
What You'll Do:
• Implement a data architecture and infrastructure that aligns with business objectives.
Collaborate closely with Application Engineers and Product Managers to ensure that the
technical infrastructure robustly supports client requirements
• Create ETL and data pipeline solutions for efficient loading of data into the warehouse
long with their testing to ensure reliability and optimal performance
• Collect, validate, and provide high-quality data, ensuring data integrity
• Champion data democratization efforts, facilitating accessibility to data for relevant
Stakeholders
• Guide the team with regard to technical best practices and contribute substantially to the
rchitecture of our systems
• Supporting operational work like onboarding new customers to our data products and
participating in on-call for the team
• Engage with cross-functional teams, including Solutions Delivery, Business Intelligence,
Predictive Analytics, and Enterprise Services, to address and support any data-related
technical issues or requirements
You're a great fit for this role if:
• At least 6-8 years of experience in working with data warehouses, data lakes, and ETL
pipelines
• Proven experience with building optimized data pipelines using Snowflake and dbt
• Expert in orchestrating data pipelines using Apache Airflow, including authoring,
scheduling, and monitoring workflows
• Exposure to AWS and proficiency in cloud services such as EKS(Kubernetes), ECS, S3,
RDS, IAM etc.
• Experience designing and implementing CI/CD workflows using GitHub Actions,
Codeship, Jenkins etc.
• Experience with tools like Terraform, Docker, Kafka
• Strong experience with Spark using Scala and Python
• Advanced SQL knowledge, with experience in pulling complex queries, query authoring,
nd strong familiarity with Snowflake and various relational databases like Redshift,
Postgres, etc.
• Experience with data modeling and system design architecting scalable data platforms
nd applications for large enterprise clients.
• A dedicated focus on building high-performance systems
• Exposure to building data quality frameworks
• Strong problem-solving and troubleshooting skills, with the ability to identify and resolve
data engineering issues and system failures
• Excellent communication skills, with the ability to communicate technical information to
non-technical stakeholders and collaborate effectively with cross-functional teams
• The ability to envision and construct scalable solutions that meet diverse needs for
enterprise clients with dedicated data teams
Nice to have:
• Previous engagement with healthcare and/or social determinants of health data products.
• Experience leveraging agentic-assisted coding tools (eg:, Cursor, Codex AI, Amazon Q,
GitHub Copilot)
• Experience working with R
• Experience with processing health care eligibility and claims data
• Exposure to Matillion ETL
• Experience using and building solutions to support various reporting and data user tools
(Tableau, Looker, etc
Location: 217 Broadway, 8th Floor, New York, NY 10007, US
Work Auth: Not open to sponsorship
Pay rate: $65-75 w2 max | max: $70/hr on c2c
Duration: 6 months +
Visa-USC/GC
Hybrid or Remote?: Remote
Interview Process/# of Rounds: 1st round technical screening via Teams Video; 2nd round technical panel / system deep dive with the engineering team - OFFER
JD:
Job Title: Data Engineering Contractor
Department: Technology
bout the Role:
Join our dynamic team of talented engineers with a proven track record in constructing data
warehouses, lakes, and pipelines. We are on a mission to fuel Unite Us' ongoing expansion and
enhance its positive influence on both the healthcare industry and individuals nationwide. As part
of our team, your role will be instrumental in collecting, processing, and delivering data to both
internal and external stakeholders. This pivotal work empowers us to intelligently invest in
emerging opportunities, quantifying the value and ROI that Unite Us networks bring to our
customers. By leveraging your expertise, you will help establish Unite Us as a thought leader in
the dynamic social care landscape. Become an integral part of our team and help us in shaping
the future of healthcare and making a meaningful impact on the lives of people across the
country.
What You'll Do:
• Implement a data architecture and infrastructure that aligns with business objectives.
Collaborate closely with Application Engineers and Product Managers to ensure that the
technical infrastructure robustly supports client requirements
• Create ETL and data pipeline solutions for efficient loading of data into the warehouse
long with their testing to ensure reliability and optimal performance
• Collect, validate, and provide high-quality data, ensuring data integrity
• Champion data democratization efforts, facilitating accessibility to data for relevant
Stakeholders
• Guide the team with regard to technical best practices and contribute substantially to the
rchitecture of our systems
• Supporting operational work like onboarding new customers to our data products and
participating in on-call for the team
• Engage with cross-functional teams, including Solutions Delivery, Business Intelligence,
Predictive Analytics, and Enterprise Services, to address and support any data-related
technical issues or requirements
You're a great fit for this role if:
• At least 6-8 years of experience in working with data warehouses, data lakes, and ETL
pipelines
• Proven experience with building optimized data pipelines using Snowflake and dbt
• Expert in orchestrating data pipelines using Apache Airflow, including authoring,
scheduling, and monitoring workflows
• Exposure to AWS and proficiency in cloud services such as EKS(Kubernetes), ECS, S3,
RDS, IAM etc.
• Experience designing and implementing CI/CD workflows using GitHub Actions,
Codeship, Jenkins etc.
• Experience with tools like Terraform, Docker, Kafka
• Strong experience with Spark using Scala and Python
• Advanced SQL knowledge, with experience in pulling complex queries, query authoring,
nd strong familiarity with Snowflake and various relational databases like Redshift,
Postgres, etc.
• Experience with data modeling and system design architecting scalable data platforms
nd applications for large enterprise clients.
• A dedicated focus on building high-performance systems
• Exposure to building data quality frameworks
• Strong problem-solving and troubleshooting skills, with the ability to identify and resolve
data engineering issues and system failures
• Excellent communication skills, with the ability to communicate technical information to
non-technical stakeholders and collaborate effectively with cross-functional teams
• The ability to envision and construct scalable solutions that meet diverse needs for
enterprise clients with dedicated data teams
Nice to have:
• Previous engagement with healthcare and/or social determinants of health data products.
• Experience leveraging agentic-assisted coding tools (eg:, Cursor, Codex AI, Amazon Q,
GitHub Copilot)
• Experience working with R
• Experience with processing health care eligibility and claims data
• Exposure to Matillion ETL
• Experience using and building solutions to support various reporting and data user tools
(Tableau, Looker, etc
About RIT Solutions
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
201 - 500 Employees
Headquarters location
Arlington, VA, US