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Data Soft Logic Jobs (NOW HIRING)

Loopback Analytics

Data Engineer

Dallas, TX · Remote

$117K - $140K/yr

Own and maintain data transformation logic, codebases, and supporting documentation * Model and ... stakeholders Soft Skills * Detail-oriented and data-driven. * Proactive in identifying ...

Loopback LLC

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Own and maintain data transformation logic, codebases, and supporting documentation * Model and ... stakeholders Soft Skills * Detail-oriented and data-driven. * Proactive in identifying ...

Loopback LLC

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Own and maintain data transformation logic, codebases, and supporting documentation * Model and ... stakeholders Soft Skills * Detail-oriented and data-driven. * Proactive in identifying ...

Collective Health

Lead Data Analyst

San Francisco, CA · Hybrid

You will provide expert guidance on SQL optimization, complex logic validation, and adherence to ... Soft Skills: Ability to communicate technical issues effectively to non-technical stakeholders, and ...

Collective Health

Lead Data Analyst

San Francisco, CA · On-site

You will provide expert guidance on SQL optimization, complex logic validation, and adherence to ... Soft Skills: Ability to communicate technical issues effectively to non-technical stakeholders, and ...

Fluence

OR · On-site

Working knowledge on PLC (Siemens S7 & Allen Bradley ControlLogix PLC), soft logic IEC 61131, SEL Relays & Meters, Siemens Relays & Meters & SCADA Gateways & Data Concentrators. * Experience with ...

System Soft Technologies

Data Engineer

Burnham, IL · On-site

$118K - $141K/yr

Support, maintain, and extend ETL processes by understanding existing logic and data flows * Develop and enhance C# scripts that support ETL operations * Design and maintain C# APIs used for data ...

Internet Soft

Full Stack Developer

San Jose, CA · On-site

Build and maintain server-side application logic using languages such as Node.js or PHP, and manage ... Design, implement, and manage databases, ensuring data integrity, security, and optimal performance.

Megan soft Inc

Genesys Consultant

Lansing, MI · On-site

$50 - $55/hr

... data from Genesys DBs 3-5+ years Technical Skills Required for Genesys intelligent Workload ... logic IWD Rules Engine Design and implementation of routing rules using the IWD Rules Engine ...

Purple Drive Technologies

DataArchitect

Wilmington, DE · On-site

$61.75 - $79.50/hr

Experience in creating detailed mapping documents, data dictionaries, and conversion plans. Soft ... Document conversion processes, mapping logic, and any issues encountered for future reference and ...

Purple Drive Technologies

DataArchitect

Wilmington, DE · On-site

$61.75 - $79.50/hr

Experience in creating detailed mapping documents, data dictionaries, and conversion plans. Soft ... Document conversion processes, mapping logic, and any issues encountered for future reference and ...

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How much do data soft logic jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for data soft logic in the United States is $36.34, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $50.00 per hour, depending on experience, location, and employer.

What is Data Soft Logic?

Data Soft Logic is a company that provides cloud-based software solutions tailored for the home health, hospice, and therapy industries. Their platforms are designed to help healthcare agencies streamline operations, manage patient records, ensure regulatory compliance, and improve workflow efficiency. By offering tools for scheduling, billing, electronic medical records (EMR), and reporting, Data Soft Logic aims to enhance productivity and quality of care for healthcare providers.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with technical tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is essential. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills in this role. These competencies enable accurate data interpretation, insightful reporting, and informed decision-making for business success.

What are the typical challenges faced by professionals working with Data Soft Logic software in healthcare settings?

Professionals using Data Soft Logic software in healthcare often encounter challenges related to adapting to frequent updates, ensuring data accuracy for compliance purposes, and efficiently managing electronic documentation within strict regulatory timelines. Additionally, collaborating with clinical staff to facilitate seamless workflow integration can require ongoing communication and training. Staying organized and proactively seeking support when needed can help overcome these common obstacles and ensure smooth operations.
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Data Soft Logic jobs near you
Infographic showing various Data Soft Logic job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,589 per year, or $36.3 per hour.
Data Engineer

Data Engineer

Loopback Analytics

Dallas, TX • Remote

$117K - $140K/yr

Full-time

Posted 9 days ago

Job description

Salary:

This employer will not sponsor applicants for employment visa status (e.g., H1-B) for this position. All applicants must be currently authorized to work in the United States on a full-time basis.

Role Summary

Loopback Health is seeking an innovative and team-oriented Data Engineerto join our team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and transformation processes that power analytics and client solutions. You will play a critical role in managing data flows, ensuring data quality, and collaborating with cross-functional teams to drive system and process improvements. Additionally, you will support the design, implementation, and maintenance of key clinical and enterprise datasets.


Key Responsibilities

  • Design, build, and maintain scalable data pipelines to ingest, transform, and deliver data across diverse sources and environments
  • Develop and manage ETL/ELT processes within cloud-based data platforms (e.g., Snowflake, Databricks)
  • Own and maintain data transformation logic, codebases, and supporting documentation
  • Model and optimize data structures within data lakes and data warehouses to support analytics and reporting use cases
  • Ensure data reliability, integrity, and performance to meet client and application SLA requirements
  • Manage evolving data ingestion formats across Health Systems, Life Sciences, and Enterprise partner ecosystems
  • Drive automation and continuous improvement of data workflows to reduce manual effort and increase efficiency
  • Implement data quality checks, monitoring, and validation processes
  • Collaborate with business and technical stakeholders to gather requirements and translate them into scalable data solutions
  • Develop and promote best practices in data engineering, data modeling, and pipeline design
  • Conduct data profiling and support testing efforts in partnership with QA and DevOps teams


Qualifications

Required:

  • 35 years of experience in Data Engineering, Data Integration, or a related field
  • Experience designing and building data pipelines and transformation workflows
  • Hands-on experience with cloud data platforms (Snowflake, Databricks) and cloud environments (Azure)
  • Strong experience with SQL and at least one programming language (e.g., Python, C#)
  • Experience with relational and non-relational data modeling, schema design, and performance optimization
  • Familiarity with data lake and data warehouse architecture

Preferred:

  • Experience working with healthcare or clinical data
  • Knowledge of data orchestration tools and workflow management
  • Experience implementing data quality frameworks and automated testing
  • Ability to communicate complex technical concepts to both technical and non-technical stakeholders

Soft Skills

  • Detail-oriented and data-driven.
  • Proactive in identifying inefficiencies and suggesting pragmatic solutions.
  • Comfortable working in a cross-functional, data-intensive environment.
  • Strong communication and documentation skills.


All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or national origin.