data engineer

nimble solutions

<div>
 Job Type
 <br/>
 <br/>
 Full-time
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 <strong>
  Data Engineer
  <br/>
  <br/>
 </strong>
 Chesterfield Office Hybrid or Remote
 <br/>
 <br/>
 <strong>
  Why You'll Want to Join!
  <br/>
  <br/>
 </strong>
 Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a
 <strong>
  Data Engineer
 </strong>
 to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as
 <strong>
  Microsoft Fabric, Azure Synapse, Databricks, and Snowflake
 </strong>
 .
 <br/>
 <br/>
 <strong>
  Position Overview
  <br/>
  <br/>
 </strong>
 Lead the modernization of our data infrastructure as a Data Engineer for nimble. You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform healthcare data&mdash;claims, EMR/EHR, HL7/FHIR&mdash;into actionable insights that drive revenue cycle optimization and clinical outcomes.
 <br/>
 <br/>
 <strong>
  Why This Role Matters
  <br/>
  <br/>
 </strong>
 Healthcare data engineering is mission-critical: clean, governed data flows directly impact financial accuracy, compliance, and the decisions that improve patient care. Your ETL/ELT pipelines enable our analytics and data science teams to unlock the full potential of healthcare data.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, build, and optimize ETL/ELT pipelines using Azure Synapse, Databricks, and Snowflake
  </li>
  <li>
   Develop robust data models and schemas for healthcare datasets, including claims, EMR/EHR, HL7, and FHIR standards
  </li>
  <li>
   Write and optimize SQL queries for performance across large healthcare datasets
  </li>
  <li>
   Implement data governance, quality frameworks, and HIPAA compliance controls
  </li>
  <li>
   Collaborate with analytics, data science, and business teams to define data requirements
  </li>
  <li>
   Monitor and troubleshoot data pipeline health and performance
  </li>
  <li>
   Develop Python or Scala code for complex transformations and data processing
  </li>
  <li>
   Support Power BI and analytics teams with data modeling and performance optimization
  </li>
  <li>
   Document data lineage, transformations, and technical architecture
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of professional data engineering or ETL/ELT development experience
  </li>
  <li>
   Expert-level SQL skills with proven optimization experience
  </li>
  <li>
   Proficiency in Python, Scala, or similar data processing languages
  </li>
  <li>
   Hands-on experience with cloud data platforms (Azure Synapse, Snowflake, Databricks, or equivalent)
  </li>
  <li>
   Understanding of healthcare data standards (HL7, FHIR, claims data structures)
  </li>
  <li>
   Strong grasp of data modeling, normalization, and schema design
  </li>
  <li>
   Experience with data versioning, CI/CD pipelines, and data quality frameworks
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Microsoft Fabric or Azure Data Factory
  </li>
  <li>
   Knowledge of HIPAA compliance and healthcare data security
  </li>
  <li>
   Background in healthcare, RCM, or claims processing
  </li>
  <li>
   Experience with dbt (data build tool) or equivalent transformation frameworks
  </li>
  <li>
   Exposure to dimensional modeling and data warehousing best practices
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Success Looks Like
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   In 90 days: Deploy first cloud pipeline to production; complete HIPAA training; establish data quality baseline metrics
  </li>
  <li>
   In 6 months: Reduce data pipeline latency by 30%; expand healthcare data models to include new sources; build reusable transformation components
  </li>
  <li>
   Ongoing: Maintain 99.5%+ pipeline uptime; mentor junior engineers; drive architectural improvements for scale and performance
  </li>
 </ul>
</div>


Data Engineer

Entarian

<div>Overview/ Job Responsibilities:
<p>
Sev1Tech is looking for a Data Engineer for the Naval Supply Systems Command (NAVSUP) Ordnance Information System (OIS) to provide technical expertise on a mission-critical program whose purpose is to develop, modernize, enhance, operate, and maintain services for OIS mission critical systems.</p><p><br>
</p><p>As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and Administrators and focus on designing, building, deploying, and maintaining data architectures and databases in the AWS GovCloud environment.</p><p></p><p><i><br>
This position is </i><b><i>on-site</i></b><i> in a secured space 5 days/week and can be filled in either Mechanicsburg, PA, </i><b><i>OR</i></b><i> Yorktown, VA.</i></p><div></div><div><b><br>
Primary Responsibilities:</b></div><p>
The Data Engineer will be responsible for the following:</p><ul><li>
Develop, construct, test, and maintain high performance, scalable, and stable data architectures for OIS, such as databases and large-scale processing systems, and migrate data from on-premises databases to cloud-based solutions, transforming the data as required.</li><li>
Develop and maintain scalable data pipelines and build out new API integrations, ensure that data pipelines are scalable, repeatable, and secure.</li><li>
Implement and manage databases and data delivery systems and transform them into insights, analysis, and reporting.</li><li>
Identify, research, design, develop, and promote solutions that enhance the modern development environment to ensure systems meet business requirements and industry best practices.</li><li>
Implement the data extraction, data load, and database synchronization routines and functions ETL.</li><li>
Implement data governance and quality controls and monitor ETL/ELT jobs to ensure performance and halt any potential issues.</li><li>
Improve system performance by conducting tests, troubleshooting, and integrating new elements and ensure all data platform solutions adhere to confidentiality and privacy requirements.</li><li>
Collaborate with data scientists, architects, and other stakeholders to ensure that the data infrastructure supports required functions and performance metrics.</li><li>
Design, model, document, and guide the logical and conceptual relationship of data and database changes.</li><li>
Document data architecture and systems for both technical teams and non-technical stakeholders.</li><li>
Perform technical planning, system integration, verification and validation, cost and risk assessments.</li></ul>
Minimum Qualifications:
<ul><li><b>Must have DOD Secret level clearance (fully adjudicated T3 background check) to start and be able to pass a T5/Top Secret background check (U.S. Citizen required only for Federal Clearance Requirement)</b></li><li>
Certification Requirements: Directive 8570.1/8140 - IAT II:
<ul><li>Baseline Certification:<b> Security+
</b></li><li>Computing Environment Certification:<b> AWS Certified Solutions Architect or AWS Certified Data Engineer or similar equivalent Cloud environment certification or Oracle Database Certified Associate or equivalent Database Certification </b>(highly preferred to have in hand upon applying; if not, must obtain within 3 months of start)</li></ul></li><li>
BA/BS (or equivalent experience) and 5+ years of prior relevant experience or Master&rsquo;s with 3+ years of prior relevant experience.</li><li>
Familiarity with data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools.</li><li>
Experience with developing and/or administrating in PostreSQL</li><li>
Proficiency in SQL and experience with other querying languages.</li><li>
Understanding of data modeling, schema design, and database optimization.</li><li>
Knowledge of data security and compliance best practices.</li><li>
Excellent verbal and written communication skills, with the ability to interact effectively with technical and non-technical stakeholders.</li><li>
Must be a self-starter and have the ability to work independently with little supervision.</li></ul>
Desired Qualifications:
<ul><li><b>Highly preferred:</b> <b>DOD Top Secret level clearance (fully adjudicated T5 background check)</b></li><li><b>
Highly preferred:</b> BA/BS in Math, Engineering, Computer Science or related field preferred (or equivalent experience) and <b>10+ years</b> of prior relevant experience or Master&rsquo;s with 8+ years of prior relevant experience</li><li>
Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon Aurora DB, Postgres, or MySQL</li><li>
Experience with GitLab, Liquibase, CI/CD pipelines highly preferred</li><li>
Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, RabbitMQ, etc.</li><li>
Demonstrated experience in network and cyber security design, engineering and operations with emphasis on Navy capabilities</li><li>
Navy experience</li><li>
Experience with cloud data services (e.g., AWS, Azure, GCP)</li><li>
Experience with Cloud Relational Database Services (e.g, AWS RDS, Aurora DB)</li><li>
SAFe experience and knowledge</li><li>
Experience with Data warehousing and Business Intelligence tools such as RedShift, MicroStrategy, Erwin Data Modeler, Pentaho, etc.</li><li>
Experience with one or more programming languages like Python, Java, Scala, or Go.</li></ul>
About Us:
<div>
Formed through the strategic union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and technology solutions. Founded on a legacy of excellence dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness. We don't just support modernization; we define it.</div><div></div><div><b><br>
Join the Mission and Start your Career Journey:</b> Apply Directly via our Careers Portal <b>Connect,</b> <b>Referrals &amp; Inquiries?</b> <b>Email the team: </b><b>careers@entarian.com</b></div><div></div><div><i><br>
Entarian is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.</i></div></div>

Amer Technology, Inc

<p><b>Data Engineer (Mid-Level)</b></p><p><b>Location:</b> Chicago, IL (Hybrid &ndash; 3 days onsite)<br/><b>Salary:</b> ~$130K &ndash; $145K</p><p>We&rsquo;re looking for a <b>hands-on Data Engineer</b> to build and maintain scalable data pipelines and support analytics and AI initiatives. This is a <b>mid-level IC role</b> focused on execution, not architecture or leadership.</p><p><b>Key Responsibilities</b></p><ul><li>Build end-to-end data pipelines on <b>Azure Databricks</b></li><li>Develop ETL/ELT and streaming pipelines using <b>Python, SQL, and Spark</b></li><li>Work with <b>Delta Lake (Bronze/Silver/Gold)</b> and optimize data models</li><li>Ensure data quality, monitoring, and performance tuning</li><li>Collaborate with data, BI, and product teams</li><li>Contribute to <b>CI/CD, testing, and best practices</b></li></ul><p><b>Required Skills</b></p><ul><li>3+ years of data engineering experience</li><li>Strong <b>Python, SQL, and Spark (PySpark)</b></li><li>Hands-on with <b>Databricks (Lakehouse, Delta Lake, Workflows, Notebooks)</b></li><li>Experience with <b>data modeling and pipeline development</b></li><li>Familiarity with cloud platforms (<b>Azure preferred</b>)</li><li>Understanding of CI/CD, version control, and data engineering best practices</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with <b>ADF, ADLS, Azure DevOps</b></li><li>Exposure to <b>streaming, AI/ML, or data governance</b></li><li>Experience in <b>modern data platforms or migrations</b></li></ul><p><b>Ideal Candidate</b></p><ul><li>Strong hands-on engineer (not architect/manager)</li><li>Experience owning pipelines end-to-end</li><li>Good problem-solving and communication skills</li></ul><p>Pay: $104,790.40 - $145,000.00 per year</p><p>Benefits:</p><ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Vision insurance</li></ul><p>Application Question(s):</p><ul><li>Can you walk me through a data pipeline you built end-to-end in Databricks, including how you handled data quality, performance optimization, and monitoring?</li><li>How have you implemented the Bronze/Silver/Gold architecture in Delta Lake, and what decisions did you make around schema design and transformation logic?</li></ul><p>Experience:</p><ul><li>Databricks Expertise: 5 years (Required)</li><li>Strong Python + PySpark: 5 years (Required)</li><li>Advanced SQL Skills: 5 years (Required)</li><li>Data Pipeline Development: 5 years (Required)</li></ul><p>Location:</p><ul><li>Chicago, IL 60606 (Required)</li></ul><p>Ability to Commute:</p><ul><li>Chicago, IL 60606 (Required)</li></ul><p>Work Location: In person</p>

Ascendion

<div><div><p><b>About Ascendion
</b></p><p>Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.
</p><p><b>Ascendion | Engineering to elevate life
</b></p><ul><li>We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
</li><li>Build the coolest tech for the world&rsquo;s leading brands
</li><li>Solve complex problems &ndash; and learn new skills
</li><li>Experience the power of transforming digital engineering for Fortune 500 clients
</li><li>Master your craft with leading training programs and hands-on experience
</li><li>Experience a community of change makers!
</li></ul><p>Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
</p><p><b>About the Role:
</b></p><p><b>Job Title: </b>Data Engineer
</p><p><b>Job Overview:
</b></p><p>We are looking for a skilled Data Engineer with strong experience in Python, GenAI/LLM technologies, and modern cloud-based data platforms. The ideal candidate will have hands-on expertise in building scalable data pipelines, working with large datasets, integrating AI/LLM frameworks, and developing data solutions using AWS and big data technologies. This role requires experience with both batch and real-time data processing, along with strong knowledge of databases, workflow orchestration, and vector database/RAG concepts.
</p><p><b>Key Responsibilities
</b></p><ul><li>Design, develop, and maintain scalable ETL/ELT and data pipeline solutions
</li><li>Build and optimize batch and real-time data processing systems
</li><li>Develop GenAI/LLM-powered applications using frameworks such as LangChain or LangGraph
</li><li>Implement RAG architectures and manage vector database indexing solutions
</li><li>Work with structured and unstructured data across multiple database technologies
</li><li>Integrate and manage big data solutions using Spark, Kafka, and cloud-native tools
</li><li>Create and maintain workflow orchestration pipelines using Apache Airflow
</li><li>Collaborate with cross-functional teams including Data Engineering, AI/ML, and Cloud teams
</li><li>Ensure data quality, scalability, security, and performance across data platforms
</li><li>Utilize AWS services such as S3, Glue, and Redshift for cloud-based data solutions
</li><li>Support and optimize data platforms like Databricks and Snowflake for analytics and AI use cases
</li></ul><p><b>Required Qualifications
</b></p><ul><li>Strong programming experience in Python
</li><li>Hands-on experience with GenAI/LLMs such as OpenAI or similar models
</li><li>Experience with LLM application frameworks like LangChain or LangGraph
</li><li>Understanding of RAG (Retrieval-Augmented Generation) concepts and Vector Database indexing
</li><li>Strong knowledge of SQL, Relational Databases, PostgreSQL, NoSQL, and MPP databases
</li><li>Experience building ETL/ELT pipelines and data processing workflows
</li><li>Hands-on experience with batch and real-time data processing
</li><li>Experience with Apache Spark and Apache Kafka
</li><li>Workflow orchestration experience using Apache Airflow
</li><li>Experience with Databricks or Snowflake data platforms
</li><li>Strong AWS experience including S3, Glue, Redshift, and secure cloud data pipelines
</li></ul><p><b>Location: </b>Plano, TX (Onsite role)
</p><p><b>Salary and Other Compensation: </b>The annual [salary/hourly rate] for this position is between [$90,000&ndash; 100,000 annually]/[$50.00- $55.00 per hour]. Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
</p><p><b>Benefits: </b>The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year]
</p><p><b>Want to change the world? Let us know.
</b></p><p>Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let&rsquo;s talk!</p></div></div><div></div>
<br><div><div><h4 class="jobSectionHeader"><b>Preferred Skills
</b></h4><div><div>AWS
<ul><li><div>Python
</div></li><li><div>SQL AWS
</div></li><li><div>SQL
</div></li><li><div>AI/ML
</div></li></ul></div></div></div><div><h4 class="jobSectionHeader"><b>Job details
</b></h4><div><div><h6 class="jobSectionHeader"><b>Job ID
</b></h6><p>332142
</p></div><div><h6 class="jobSectionHeader"><b>Job Requirements
</b></h6><p>Data Engineer
</p></div><div><h6 class="jobSectionHeader"><b>Location
</b></h6><p>Plano, Texas, US
</p></div><div><h6 class="jobSectionHeader"><b>Recruiter
</b></h6><p>Rahul
</p></div><div><h6 class="jobSectionHeader"><b>Email
</b></h6><p>rahul.mandal@ascendion.com
</p></div></div></div><div><h4 class="jobSectionHeader"><b>About Ascendion
</b></h4><div><h6 class="jobSectionHeader"><b>Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees.
</b></h6><p>Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.</p></div></div></div>

PROZ TECHNOLOGIES

<p>Hello,<br/>Greetings from Proztec Qatar! I hope everything is going well with you.</p><p><b>JOB DESCRIPTION</b></p><p>The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures to support data processing and analytics. The role focuses on handling large datasets, ensuring data quality, and enabling seamless integration across systems. The engineer will work closely with data analysts, data scientists, and business teams to deliver reliable and efficient data solutions.</p><p><b>DUTIES &amp; RESPONSIBILITIES</b></p><ul><li>Design, build, and maintain scalable ETL/ELT data pipelines</li><li>Process and manage large volumes of structured and unstructured data</li><li>Develop and optimize SQL queries for data extraction and transformation</li><li>Ensure data quality, integrity, and consistency across systems</li><li>Integrate data from multiple sources including APIs, databases, and cloud platforms</li><li>Monitor and troubleshoot data pipeline performance issues</li><li>Collaborate with data analysts and data scientists to support analytics and reporting needs</li><li>Implement data governance and security best practices</li><li>Maintain documentation for data flows, models, and pipelines</li><li>Optimize data storage and processing for performance and cost efficiency</li></ul><p><b>SKILLS &amp; ABILITIES</b></p><ul><li>Strong experience in SQL and database management</li><li>Hands-on experience with ETL/ELT processes and tools</li><li>Proficiency in Python for data processing and automation</li><li>Knowledge of Big Data technologies (e.g., Hadoop, Spark)</li><li>Experience with cloud data platforms (AWS, Azure, or GCP)</li><li>Strong problem-solving and analytical skills</li></ul><p><b>POTENTIAL BACKGROUND</b></p><ul><li>Minimum <b>4+ years of experience</b> in Data Engineering</li><li>Experience handling large-scale data processing and pipelines</li><li>Exposure to enterprise data architecture and analytics environments</li><li>Experience working with cloud-based data solutions is a plus</li></ul><p><b>CERTIFICATIONS (MANDATORY/PREFERRED)</b></p><ul><li>Google Professional Data Engineer &ndash; Preferred</li><li>Azure Data Engineer Associate &ndash; Preferred</li><li>AWS Data Analytics Certification &ndash; Preferred</li></ul><p><b>LANGUAGE REQUIREMENT</b></p><ul><li>Arabic or Non-Arabic Speaker</li></ul><p><b>WORK LOCATION</b></p><ul><li>Onshore &amp; Offshore</li></ul><p><b>SOFT SKILLS</b></p><ul><li>Strong analytical and problem-solving abilities</li><li>Good communication and collaboration skills</li><li>Attention to detail and data accuracy</li><li>Ability to manage multiple tasks and deadlines</li><li>Proactive and solution-oriented mindset</li></ul><p>If you&rsquo;re interested or have relevant experience, feel free to share your updated CV.</p><p>Job Type: Full-time</p><p>Pay: QAR15,000.00 - QAR18,000.00 per month</p><p>Work Location: In person</p>

Halan - حالا

<div>
 <p>
  Job Overview:
 </p>
 <p>
  We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development.
 </p>
 <p>
  Key responsibilities:
 </p>
 <p>
  &bull; Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.
 </p>
 <p>
  &bull; Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, MongoDB, and PostgreSQL, to enhance performance, scalability, and efficiency.
 </p>
 <p>
  &bull; Understand and optimize hardware and resource consumption for data engineering projects.
 </p>
 <p>
  &bull; Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
 </p>
 <p>
  &bull; Design and architect high-performance, fault-tolerant, and scalable data pipelines.
 </p>
 <p>
  &bull; Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
 </p>
 <p>
  &bull; Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
 </p>
 <p>
  &bull; Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.
 </p>
 <p>
  Requirements:
 </p>
 <p>
  &bull; 2-3 years of professional experience as a Software Engineer, with a focus on data engineering.
 </p>
 <p>
  &bull; Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.
 </p>
 <p>
  &bull; Proven ability to work effectively in an Agile development environment and manage multiple priorities.
 </p>
 <p>
  &bull; Strong problem-solving, analytical thinking, communication, and collaboration skills.
 </p>
</div>


Michigan Farm Bureau

<div>OBJECTIVE:
<div><b>
Data Engineer Objective</b></div><div>
To build, manage, optimize, and assist in the design of data pipelines in support of information, analytics, and strategic business needs across the enterprise.</div>
RESPONSIBILITIES:
<div><b>
Data Engineer Responsibilities</b></div><div>
Identify and understand source data systems and data flow between systems. Recognize changes in those systems and assess impacts on data pipelines. Adapt data pipelines to accommodate modifications triggered by source system changes or business requirements.</div><div></div><div><br>
Work closely with other IT or business personas while participating on projects. Demonstrate proficiency in understanding requirements and assist the team by offering expertise on data-related technical issues. Provide continuous updates on progress to project stakeholders, as well as issues or dependencies that put milestones at risk. Communicate efficiently, both written and verbally. Ask clarifying questions when needed and demonstrate teamwork and collaboration with the project team to ensure deliverables meet expectations.</div><div></div><div><br>
Assemble large sets of data that meet non-functional and functional business requirements and that comply to best practices and guidelines set by architects, senior and lead engineers.</div>
QUALIFICATIONS:
<div><b>
Data Engineer Qualifications</b></div><div><b>
Required
</b></div><div>Bachelor&rsquo;s degree in information systems, computer science, or related field required, or equivalent experience may be considered.</div><div></div><div><br>
Three to five years&rsquo; experience working with Microsoft SQL Server, T-SQL, Visual Studio IDE, and SSIS (or equivalent ETL platforms) required.</div><div></div><div><br>
Current knowledge of computer hardware, operating systems, program language(s) and tools, testing techniques and tools, program specification and interpretation required.</div><div></div><div><br>
Working knowledge of systems design and analysis tools and techniques required.</div><div></div><div><br>
Willingness to pursue continuing job-related training and education in systems and insurance required.</div><div></div><div><b><br>
Preferred</b></div><div>
Working knowledge of transactional, analytical, big data structures preferred.</div><div></div><div><br>
Understanding database best practices and technologies such as types of compression, indexes, security, data types, and AlwaysOn preferred.</div><div></div><div><br>
Prior experience at an insurance company or on projects for an insurance company preferred.</div><p>
Microsoft Fabric experience preferred.<br>
<br>
<b>Note:</b> This is a Hybrid position working remotely (from the state of Michigan) and from the Farm Bureau Home Office located in Lansing, Michigan.<br>
<br>
If a candidate is not selected, a Senior Data Engineer may be considered on the level of experience and qualifications.<br>
<br>
Farm Bureau offers a full benefit package including medical, dental, vision, and 401K.</p><div>
PM19</div></div>

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