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Remote Data Conversion Developer Jobs in Illinois

Cayuse Holdings, LLC

$28 - $30/hr

Remote Type: Corp to Corp Start Date: ASAP Pay Rate: $28-$30 per hour Contract Length: 12 months ... conversion to FTE **This position is posted for future opportunities. Please submit your ...

Independencepetgroup

Data Scientist - Senior

Chicago, IL · On-site +1

... conversion, and retention analytics. This role plays a key part in shaping the direction and best ... Job Location: * Remote or Hybrid (United States) * Chicago, IL | New York, NY | Scottsdale, AZ ...

Austin Community College

Data Warehouse Developer

Oregon, IL · On-site +1

$79.57K - $106.09K/yr

Remote within United States.POSTING DETAILS:Make an ImpactTrillium Health Resources is a Tailored ... What We're Looking ForTrillium Health Resources has a career opening for Data Warehouse Developer ...

Claritev

Data Engineer (remote)

Naperville, IL · Remote

$114.40K - $137.40K/yr

This role will be part of the team responsible for developing and deploying Data Engineering Platform and Integration Solutions. Primary responsibility will be to work closely with the Data ...

University of Utah

Data Engineers

Campus, IL · On-site +1

$111.60K - $134.10K/yr

... remote work schedule for candidates who reside in the state of Utah. While most duties can be ... As a Data Engineer, your responsibilities will include: 1. Design, develop, and maintain database ...

University of Utah

Data Engineers

Campus, IL · On-site +1

$111.60K - $134.10K/yr

... remote work schedule for candidates who reside in the state of Utah. While most duties can be ... As a Data Engineer, your responsibilities will include: 1. Design, develop, and maintain database ...

University of Utah

Data Engineers

Campus, IL · On-site +1

$111.60K - $134.10K/yr

... remote work schedule for candidates who reside in the state of Utah. While most duties can be ... As a Data Engineer, your responsibilities will include: 1. Design, develop, and maintain database ...

TEKsystems

Sr DevOps Engineer (Data)

Chicago, IL · Remote

$70 - $80/hr

Cloud-native architectures (Azure preferred) Data platforms and analytics lifecycle management 12 Months +Contract Remote Description We are seeking a Senior Microsoft Fabric CI/CD DevOps Engineer ...

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141.60K/yr

Role Overview The Data Engineer is responsible for designing, implementing, and supporting modern ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Clarity Partners LLC

GIS Developer

Chicago, IL · On-site +1

$85K - $105K/yr

Perform quality control on data capture, conversion, and external data integration. * Produce high ... Proficiency in programming/scripting languages (Python, HTML, JavaScript). * Strong communication ...

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Remote Data Conversion Developer information

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

To thrive as a Remote Data Conversion Developer, you need strong programming skills (often in SQL, Python, or ETL tools), data mapping expertise, and an understanding of database structures, typically backed by a degree in computer science or related experience. Familiarity with data conversion platforms such as Informatica, Talend, or SSIS, and certifications in relevant tools or cloud services, are commonly required. Excellent problem-solving, attention to detail, and effective communication are crucial soft skills for collaborating remotely and managing complex data processes. These skills ensure accurate, efficient data transformations and seamless integration across diverse systems in a distributed work environment.

What are some common challenges faced by Remote Data Conversion Developers when working with legacy data systems?

Remote Data Conversion Developers often encounter challenges such as inconsistent data formats, incomplete or corrupted datasets, and undocumented legacy systems. Successfully converting and migrating data requires problem-solving skills to map and validate data accurately, as well as strong communication with business analysts and system owners to clarify requirements and resolve ambiguities. Additionally, thorough testing and quality assurance are essential to ensure data integrity throughout the conversion process.

What is a Remote Data Conversion Developer?

A Remote Data Conversion Developer is a professional who specializes in transforming data from one format or system to another, often working from a remote location. Their main responsibilities include analyzing existing data structures, designing conversion processes, writing scripts or software to automate data migration, and ensuring data integrity during the conversion. They typically work with databases, data warehouses, or legacy systems to facilitate seamless data transitions during system upgrades or platform changes. Strong skills in programming, data analysis, and problem-solving are essential for this role.

What is the difference between Remote Data Conversion Developer vs Data Analyst?

AspectRemote Data Conversion DeveloperData Analyst
Required CredentialsTypically requires programming skills, data conversion tools, and sometimes certifications in data managementRequires analytical skills, proficiency in data visualization, and often a degree in statistics or related fields
Work EnvironmentPrimarily technical, focused on data transformation, ETL processes, and scriptingAnalytical, focused on interpreting data, creating reports, and providing insights
Employer & Industry UsageUsed in IT, data management, and software development sectorsCommon in finance, marketing, healthcare, and business intelligence sectors

The main difference is that Remote Data Conversion Developers focus on transforming and converting data using technical skills, while Data Analysts interpret and analyze data to support decision-making. Both roles may work remotely and require familiarity with data tools, but their core responsibilities differ significantly.

What are the most commonly searched types of Data Conversion Developer jobs in Illinois? The most popular types of Data Conversion Developer jobs in Illinois are:
What are popular job titles related to Remote Data Conversion Developer jobs in Illinois? For Remote Data Conversion Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Data Conversion Developer jobs in Illinois look for? The top searched job categories for Remote Data Conversion Developer jobs in Illinois are:
What cities in Illinois are hiring for Remote Data Conversion Developer jobs? Cities in Illinois with the most Remote Data Conversion Developer job openings:
Remote Data Conversion Developer jobs near you

Data Scientist/Engineer

Cayuse Holdings, LLC

Remote

$28 - $30/hr

Other

Posted 14 days ago

Job description

Overview
Job Title: Data Scientist/Engineer
Location: Remote
Type: Corp to Corp
Start Date: ASAP
Pay Rate: $28-$30 per hour
Contract Length: 12 months - potential conversion to FTE
**This position is posted for future opportunities. Please submit your application to be considered for similar upcoming roles**
We are seeking a highly skilled and motivated Data Scientist/Engineer to join our dynamic and innovative team. The ideal candidate will have hands-on experience designing, building, and maintaining scalable data processing pipelines, implementing machine learning solutions, and ensuring data quality across the organization. This role requires a strong technical foundation in Azure cloud platforms, data engineering, and applied data science to support critical business decisions and technological advancements.
Responsibilities
Data Engineering
  • Build and Maintain Data Pipelines: Develop and manage scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, or Azure Databricks to process large volumes of data.
  • Data Quality and Transformation: Ensure the transformation, cleansing, and ingestion of data from a wide range of structured and unstructured sources with appropriate error handling.
  • Optimize Data Storage: Utilize and optimize data storage solutions, such as Azure Data Lake and Blob Storage, to ensure cost-effective and efficient data storage practices.
Machine Learning Support
  • Collaboration with ML Engineers and Architects: Work with Machine Learning Engineers and Solution Architects to seamlessly deploy machine learning models into production environments.
  • Automated Retraining Pipelines: Build automated systems to monitor model performance, detect model drift, and trigger retraining processes as needed.
  • Experiment Reproducibility: Ensure reproducibility of ML experiments by maintaining proper version control for models, data, and code.
Data Analysis and Preprocessing
  • Data Ingestion and Exploration: Ingest, explore, and preprocess both structured and unstructured data with tools such as:
    • Azure Data Lake Storage
    • Azure Synapse Analytics
    • Azure Data Factory
  • Exploratory Data Analysis (EDA): Perform exploratory data analysis using notebooks like Azure Machine Learning Notebooks or Azure Databricks to derive actionable insights.
  • Data Quality Assessments: Identify data anomalies, evaluate data quality, and recommend appropriate data cleansing or remediation strategies.
General Responsibilities
    • Pipeline Monitoring and Optimization: Continuously monitor the performance of data pipelines and workloads, identifying opportunities for optimization and improvement.
    • Collaboration and Communication: Communicate findings and technical requirements effectively with cross-functional teams, including data scientists, software engineers, and business stakeholders.
    • Documentation: Document all data workflows, experiments, and model implementations to facilitate knowledge sharing and maintain continuity of operations.

Qualifications
  • Proven experience in building and managing data pipelines using Azure Data Factory, Azure Synapse Analytics, or Databricks.
  • Strong knowledge of Azure storage solutions, including Azure Data Lake and Blob Storage.
  • Familiarity with data transformation, ingestion techniques, and data quality methodologies.
  • Proficiency in programming languages such as Python or Scala for data processing and ML integration.
  • Experience in exploratory data analysis and working with notebooks like Jupyter, Azure Machine Learning Notebooks, or Azure Databricks.
  • Solid understanding of machine learning lifecycle management and model deployment in production environments.
  • Strong problem-solving skills with experience detecting and addressing data anomalies.

Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local l aw.
Pay Range
USD $28.00 - USD $30.00 /Hr.

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