173 Results for Business Intelligence Developer Jobs

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Data Engineer

Woodbury, MN
onsite
Temporary / Contract
60 - 70 USD / Hourly
We are looking for a Data Engineer to join an immediate contract opportunity in Woodbury, Minnesota. In this role, you will help advance a customer-focused analytics platform by creating reliable data solutions that support reporting, APIs, and interactive insights. You will work closely with technical and business partners to shape scalable data structures and deliver high-quality information products in a collaborative environment. Responsibilities:• Create and support robust data pipelines that move and prepare information for analytics and downstream applications.• Build transformation workflows using dbt and optimize processing logic with Python, Spark SQL, and PySpark.• Coordinate scheduled and dependency-driven data jobs with Apache Airflow to ensure consistent delivery.• Ingest and manage data within an on-premises environment, maintaining efficiency, quality, and availability.• Develop data services and API-ready outputs so customers can access information through external BI and analytics tools.• Contribute to semantic and visualization layers, including tools such as Cube.dev or similar platforms, to improve analytics usability.• Partner with application and dashboard developers to align data structures with customer-facing reporting needs.• Work with stakeholders across product, business, and engineering teams to define solutions that support platform goals and user expectations.• Apply modern development practices and AI-assisted tools where appropriate to improve productivity and accelerate delivery.
2026-10-05T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets. Responsibilities: • Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability. • Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools. • Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency. • Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput. • Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management. • Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines. • Create efficient code for data transformation and aggregation using Python and advanced query development techniques. • Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases. • Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
2026-09-09T00:00:00Z

Data Engineer

Nashville, TN
remote
Permanent / Full Time
130000 - 140000 USD / Yearly
We are looking for a Data Engineer to join a collaborative technology team in Nashville, Tennessee, where you will help shape reliable, scalable data solutions that support critical business and healthcare-focused initiatives. This role is ideal for a hands-on builder who enjoys working across technical and business groups to turn complex needs into well-architected platforms and efficient data workflows. You will contribute in an agile setting, partner with stakeholders across the organization, and play a key role in improving data quality, performance, and delivery. Responsibilities: • Build and enhance scalable data pipelines and modular processing frameworks that strengthen business intelligence and analytics capabilities. • Work with cloud and big data technologies to develop, tune, and support high-volume data platforms for enterprise use. • Convert business goals and functional needs into technical plans, while identifying dependencies, constraints, and delivery risks early in the process. • Produce clean, maintainable code and follow disciplined engineering practices for source control, testing, deployment, and documentation. • Partner with internal teams, leadership, and vendors to define requirements and design solutions that align with operational and strategic objectives. • Improve pipeline reliability, system efficiency, and data processing performance through ongoing evaluation and optimization. • Provide guidance to teammates by sharing practical knowledge of modern data engineering methods, tools, and development standards. • Investigate production issues, resolve technical problems, and help maintain the stability and availability of data systems. • Communicate architectural decisions and implementation details clearly to both technical stakeholders and non-technical audiences.
2026-10-01T00:00:00Z

Data Engineer

Atlanta, GA
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a Data Engineer to join a fast-paced IT consulting environment in Atlanta, Georgia. In this role, you will design and optimize modern data solutions that support analytics, machine learning, and business decision-making across a variety of client initiatives. The ideal candidate brings strong technical depth in cloud-based data engineering along with a practical, solution-oriented mindset. This position is well suited for someone who enjoys turning complex data challenges into scalable and reliable platforms. Responsibilities: • Build and maintain robust data pipelines that move, transform, and prepare information for reporting, analytics, and operational use. • Design end-to-end data solutions within Azure-based environments, using the right services and frameworks to support performance, reliability, and scale. • Develop engineering workflows with Python and PySpark to process both structured datasets and more complex unstructured sources. • Create and support data architecture components in Microsoft Fabric, Databricks, and related platforms to enable efficient data access and delivery. • Implement pipeline orchestration and workflow automation through Databricks tools to streamline recurring data operations. • Support machine learning initiatives by preparing high-quality datasets and building pipelines that feed model development and deployment processes. • Apply sound data management practices to ensure consistency, usability, and governance across data assets. • Work within Azure DevOps-driven delivery environments to contribute to version control, deployment processes, and collaborative engineering practices. • Partner with stakeholders to understand business objectives, translate requirements into technical solutions, and deliver strong client-focused outcomes.
2026-09-16T00:00:00Z

Data Engineer

Battle Creek, MI
onsite
Permanent / Full Time
70000 - 110000 USD / Yearly
We are looking for a Data Engineer to help maintain and improve a mission-driven technology environment that supports essential nonprofit operations in Battle Creek, Michigan. This position blends application support, database engineering, and systems integration work, making it ideal for someone who enjoys solving technical problems across multiple platforms. The role works closely with internal teams and external partners to keep business systems reliable, data accurate, and reporting processes running smoothly. Responsibilities: • Maintain and resolve issues across core business applications, including Dynamics 365 Business Central, Microsoft 365, SharePoint, Power BI, procurement tools, workforce systems, and other connected platforms. • Administer Microsoft SQL Server environments by monitoring system health, tuning performance, managing security access, and overseeing backup, recovery, upgrade, and capacity planning activities. • Build, refine, and troubleshoot SQL queries to support operational needs while identifying and correcting data consistency, accuracy, and reconciliation problems between systems. • Develop and support integrations, APIs, ETL processes, Azure Data Factory workflows, scheduled data exchanges, and SFTP-based transfers to ensure dependable movement of information across platforms. • Investigate reporting and data warehouse issues by resolving failed loads, refresh interruptions, and mismatches between source systems and business intelligence outputs. • Contribute to software rollouts and system enhancements through testing, data conversion support, deployment activities, post-launch issue resolution, and production stabilization efforts. • Partner with software vendors and external service providers to diagnose complex technical challenges and drive incidents through to completion. • Create and maintain clear technical documentation for applications, databases, integrations, and data flows while sharing knowledge with teammates to strengthen team coverage. • Support both strategic engineering work and day-to-day technical tasks within a collaborative IT team, adapting to changing priorities as needed.
2026-09-28T00:00:00Z

Data Engineer

Appleton, WI
onsite
Temporary to Hire
57 - 70 USD / Hourly
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure. Responsibilities: • Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations. • Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources. • Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes. • Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads. • Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making. • Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes. • Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives. • Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
2026-10-02T00:00:00Z

Data Engineer

Brookfield, WI
onsite
Permanent / Full Time
100000 - 130000 USD / Yearly
We are looking for a Data Engineer to help shape and expand a cloud-focused data environment that supports analytics, operational reporting, automation, and emerging AI use cases. Based in Brookfield, Wisconsin, this position works across technical and business teams to deliver dependable data solutions that improve access, accuracy, and usability. The role is ideal for someone who thrives on translating complex data needs into scalable engineering outcomes and values collaboration, problem-solving, and continuous improvement. Responsibilities: • Design, build, and maintain scalable data pipelines that move and transform information for analytics, reporting, and operational needs. • Partner with business stakeholders, analysts, software developers, and leaders to understand data requirements and turn them into reliable engineering solutions. • Develop and refine data models and platform architecture to support performance, flexibility, and long-term growth. • Implement ETL processes that integrate data from multiple sources while improving consistency, completeness, and accessibility. • Use Python and distributed data technologies such as Apache Spark and Hadoop to process large and complex datasets efficiently. • Support streaming and event-driven data workflows using tools such as Apache Kafka where real-time data delivery is needed. • Monitor data quality, troubleshoot pipeline issues, and optimize workflows to ensure dependable delivery and strong system performance. • Contribute to ongoing enhancements of the data platform by identifying opportunities to improve scalability, automation, and engineering standards.
2026-09-28T00:00:00Z

Data Engineer

Nashville, TN
remote
Permanent / Full Time
120000 - 130000 USD / Yearly
We are looking for a Data Engineer to create and enhance scalable data solutions that strengthen business intelligence capabilities across the organization. This role partners with technology leaders, software teams, delivery stakeholders, and external partners to turn business needs into reliable technical outcomes. The position is well suited to someone who thrives in an agile setting, works confidently with minimal supervision, and collaborates effectively across teams. This opportunity is based in Nashville, Tennessee. Responsibilities: • Build and refine scalable data pipelines and platform components that support reporting, analytics, and enterprise intelligence initiatives. • Assess modern cloud and big data technologies, gain working knowledge of new tools quickly, and recommend practical options based on business needs. • Translate technical and business requirements into clearly defined tasks, implementation plans, and measurable deliverables. • Write maintainable, efficient, and high-quality code that supports stable and dependable data solutions. • Review existing processes and code for gaps or performance issues, then propose and implement improvements. • Adjust priorities effectively in response to evolving project demands, timelines, and stakeholder expectations. • Take ownership of delivered solutions by documenting design decisions and explaining functionality to team members and partners. • Contribute to additional data engineering efforts that advance organizational goals and strengthen outcomes for end users.
2026-10-01T00:00:00Z

Data Engineer

Portland, ME
remote
Permanent / Full Time
88000 - 133000 USD / Yearly
We are looking for a Data Engineer to help build and maintain reliable data solutions for a client. This position focuses on moving, transforming, and validating data from multiple sources to support reporting, analytics, and operational needs. The ideal candidate will be comfortable working with modern cloud data platforms, collaborating with cross-functional teams, and improving data processes for accuracy, consistency, and timely delivery. Responsibilities:• Design, develop, and maintain data pipelines that ingest information from APIs, files, network sources, and other internal or external systems.• Build and enhance automated data workflows using Snowflake, Azure Data Factory, Python, and SQL to support reporting and analytics needs.• Apply business rules to transform raw data into structured, usable datasets for analysts, stakeholders, and downstream applications.• Partner with business users, analysts, developers, and project teams to gather requirements and deliver data solutions within an agile environment.• Monitor data quality by validating, cleansing, and reconciling datasets to ensure dependable and consistent information availability.• Troubleshoot pipeline failures, data inconsistencies, and integration issues, then implement fixes to improve system stability.• Maintain clear documentation for data warehouse configurations, workflow logic, and processing standards.• Manage code and workflow changes through version control practices to support traceability and controlled deployment.• Improve the timeliness and efficiency of data delivery for internal teams and third-party data consumers by identifying process enhancements.
2026-09-09T00:00:00Z

Data Engineer

Plano, TX
onsite
Temporary to Hire
60 - 70 USD / Hourly
We are looking for a Data Engineer to join a Financial Services team in Plano, Texas on a contract basis with the potential for a permanent role. This role is focused on designing and delivering reliable data pipelines in a cloud-first environment, with Snowflake serving as a central platform for analytics and data consumption. The position offers a balanced mix of new development and targeted optimization, with an emphasis on improving data quality, operational visibility, and scalable processing capabilities. Responsibilities: • Design, build, and deploy end-to-end data pipelines with Snowflake as a primary data platform. • Create new ingestion and transformation workflows while resolving issues affecting existing pipeline performance and reliability. • Support streaming data integration using Apache Kafka to enable timely and scalable data movement. • Strengthen observability across data workflows by improving monitoring, alerting, and pipeline transparency. • Enhance data quality practices through validation, testing, and proactive issue identification. • Modernize data architecture by reducing dependency on legacy processes and addressing technical debt. • Contribute to engineering standards by applying disciplined development practices, code quality measures, and repeatable delivery methods. • Help expand CI/CD and testing capabilities by promoting more consistent automation across build and release activities. • Use AI-assisted development tools to accelerate coding, testing, and documentation where appropriate.
2026-09-28T00:00:00Z

Data Engineer

Chicago, IL
onsite
Permanent / Full Time
150000 - 160000 USD / Yearly
We are looking for a Data Engineer to take ownership of a growing enterprise data platform. This role is best suited for a highly capable, hands-on individual who can build, optimize, and support modern data solutions while working closely with business and technical stakeholders. The position offers the opportunity to shape data architecture, improve data accessibility, and contribute to a scalable analytics environment. This is an onsite role, with three days per week in the office. Responsibilities: • Design, build, and maintain scalable data pipelines that support enterprise reporting, analytics, and operational needs. • Develop and enhance data integration workflows using Microsoft Fabric or Azure Data Factory to move and transform data efficiently. • Create and refine data models and architecture standards to improve consistency, performance, and long-term usability across platforms. • Write production-quality Python code to automate data processing, validation, and orchestration tasks. • Partner with cross-functional teams to understand business requirements and translate them into practical data engineering solutions. • Monitor data platform performance, troubleshoot issues, and implement improvements that strengthen reliability and maintainability. • Work with large-scale data technologies such as Spark, Hadoop, Kafka, and ETL frameworks to support evolving data initiatives. • Contribute to the expansion of the data function by documenting processes and, over time, providing guidance to team members as needed.
2026-09-28T00:00:00Z

Data Engineer

Norman, OK
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Platform Engineer to join a 4-month contract opportunity based in Norman, Oklahoma. This role owns the storage, retention and pipeline-correctness workstream. This is data engineering, not cloud infrastructure. What they will actually do▪ Own the storage and pipeline backlog across the ingestion and processing repositories▪ Event ordering and bitemporal modelling: separating event time from ingestion time, deterministic replay▪ Atomic snapshot publication with schema admission and rollback▪ Design the historical layer on object storage so it can be queried economically and answer as-of questions correctly — file format, partitioning, compaction, and whether the canonical layer moves onto a managed table format▪ Reconcile the operational database and the historical store so a point-in-time question returns one answer rather than two▪ Evidence immutability and retention: object-lock semantics, preventing overwrite of stored evidence, validated recovery paths▪ Pipeline durability: idempotent runs, completeness receipts, restore testing▪ Support production cutover in month 4 — this seat does not roll off early
2026-10-02T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practices.
2026-10-01T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment. Responsibilities: • Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment. • Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting. • Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate. • Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms. • Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions. • Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership. • Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality. • Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
2026-10-05T00:00:00Z

Data Engineer

Chicago, IL
onsite
Permanent / Full Time
180000 - 200000 USD / Yearly
We are looking for a Data Engineer to help build and maintain scalable data solutions that support critical business operations within the brokerage industry. This role is based in Chicago, Illinois, and focuses on designing reliable data pipelines, improving data accessibility, and enabling efficient processing across large datasets. The ideal candidate brings strong technical expertise in modern data engineering tools and enjoys working in a fast-paced environment where data quality, performance, and consistency are essential. Responsibilities: • Design, develop, and optimize data pipelines that support ingestion, transformation, and delivery of large-scale datasets. • Build and maintain ETL workflows to ensure accurate, timely, and dependable movement of data across platforms. • Use Python and Apache Spark to process complex data efficiently and improve overall pipeline performance. • Work with Apache Hadoop technologies to manage distributed data storage and computation for high-volume workloads. • Implement streaming and messaging solutions with Apache Kafka to support near-real-time data integration needs. • Partner with cross-functional teams to understand data requirements and translate business needs into technical solutions. • Monitor data processes, troubleshoot issues, and resolve bottlenecks to maintain system reliability and data integrity. • Contribute to enhancements involving data platform changes or internal process updates as part of ongoing engineering initiatives.
2026-09-09T00:00:00Z

Data Engineer

Dallas, TX
onsite
Temporary to Hire
47.5 - 52 USD / Hourly
We are looking for a Data Engineer to join a growing team and contribute to the delivery of reliable, analytics-ready data solutions. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable data pipelines, improving data models, and partnering with technical and business stakeholders to support reporting, self-service analytics, and data science. The role offers the chance to work hands-on with Databricks, Python, PySpark, SQL, and modern data engineering practices in a collaborative environment focused on quality and performance. Responsibilities: • Build, maintain, and enhance data pipelines that support dependable data availability for analytics and reporting needs. • Collaborate with data engineering leaders to troubleshoot defects, resolve pipeline issues, and improve overall platform stability. • Develop transformation logic using Python, PySpark, SQL, and Databricks to prepare clean, usable datasets for downstream consumers. • Design and refine data models that improve usability, consistency, and performance across reporting and analytical workloads. • Apply layered data architecture principles, including Bronze, Silver, and Gold structures, to organize and manage data effectively. • Establish and follow engineering standards for validation, testing, monitoring, and documentation to strengthen data quality and maintainability. • Optimize processing and query performance to support efficient data delivery at scale. • Work with business and technical partners to translate data needs into practical engineering solutions that support trusted insights.
2026-10-02T00:00:00Z

IT Analyst/Developer

Marysville Nt, OH
onsite
Temporary / Contract
55 - 65 USD / Hourly
We are looking for an IT Analyst/Developer to support and advance enterprise platform initiatives for an automotive organization in Marysville, Ohio. This Long-term Contract position focuses on leading enhancements within the Dassault Systèmes 3DEXPERIENCE environment, partnering with business teams, technical resources, and external vendors to deliver dependable solutions. The role is primarily onsite four days per week and is well suited for someone who combines strong technical understanding with disciplined project coordination. Responsibilities: • Drive enhancement initiatives within the Dassault Systèmes 3DEXPERIENCE platform by organizing scope, schedules, and cross-functional execution activities. • Collaborate with business stakeholders to define needs, translate objectives into clear requirements, and align delivery plans with operational priorities. • Oversee project progress across multiple platform environments, ensuring development, validation, and release activities remain on track. • Coordinate testing efforts, monitor defects, and guide issue remediation to support stable and timely deployments. • Provide consistent communication to stakeholders through project updates, status reporting, and risk escalation when needed. • Partner with internal technical teams and third-party vendors to implement new capabilities that satisfy agreed business outcomes. • Manage deployment readiness by tracking dependencies, confirming deliverables, and supporting smooth production rollout activities. • Facilitate resolution of project obstacles by identifying risks early and driving action plans with the appropriate teams.
2026-09-30T00:00:00Z

Business Development Representative

Hunt Valley, MD
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
We are seeking a motivated, driven, and results oriented Business Development Representative to join our growing team. This position will focus on identifying new business opportunities, developing relationships with prospective clients, and generating qualified sales opportunities for the organization. Hybrid work schedule and full benefits! The ideal candidate is a strong communicator who is comfortable with outbound prospecting, cold calling, email outreach, networking, and developing relationships with decision makers. This is an excellent opportunity for someone who enjoys building relationships, creating new opportunities, and contributing directly to company growth. Key Responsibilities<ul><li>Identify and research prospective clients and new business opportunities</li><li>Conduct outbound prospecting through phone calls, email, LinkedIn, networking, and other channels</li><li>Generate qualified leads and schedule meetings with prospective clients</li><li>Develop and maintain relationships with key decision makers and business leaders</li><li>Understand prospect needs, business challenges, and goals and communicate how the company can provide solutions</li><li>Manage and maintain an accurate pipeline of prospective business</li><li>Follow up consistently with prospects throughout the sales development process</li><li>Qualify inbound and outbound leads based on established criteria</li><li>Collaborate with sales and leadership teams to develop strategies for converting prospects into clients</li><li>Maintain accurate and timely activity, prospect, and pipeline information within the CRM</li><li>Meet or exceed established activity, lead generation, appointment setting, and revenue goals</li><li>Attend networking events, industry events, and other business development activities as needed</li><li>Continuously develop knowledge of the company’s services, solutions, and value proposition</li></ul>
2026-10-05T00:00:00Z

Business Development Representative

Nashville, TN
onsite
Permanent / Full Time
75000 - 75000 USD / Yearly
Business Development Representative – HealthcareLocation: Nashville, TN | OnsiteEmployment Type: Full-Time, Direct HireBase Salary: $75,000 + Uncapped Incentive Compensation Position OverviewA growing organization serving the healthcare industry is seeking a Business Development Representative to join its Nashville-based growth team. This position offers the opportunity to build relationships throughout the healthcare ecosystem while representing a diverse portfolio of business solutions and services. Unlike a traditional high-volume BDR position, this role is focused on developing meaningful relationships with physician groups, provider organizations, healthcare executives, hospitals, and health systems. The successful candidate will be highly proactive and comfortable opening doors, identifying business needs, coordinating internal subject matter experts, and helping turn new relationships into long-term strategic partnerships. The role will initially have a strong emphasis on new business development and relationship creation, with the opportunity to take on greater strategic account and relationship management responsibility as the individual's book of business grows. Key Responsibilities<ul><li>Identify and prospect new business opportunities across physician groups, provider organizations, hospitals, health systems, and other healthcare organizations.</li><li>Develop relationships with physicians, practice leaders, healthcare executives, and other key decision-makers.</li><li>Conduct outbound business development through phone, email, networking, referrals, market research, and in-person relationship building.</li><li>Secure qualified meetings with prospective healthcare partners and uncover organizational needs, growth plans, and business challenges.</li><li>Learn multiple business lines and identify opportunities to connect prospective clients with appropriate solutions and internal resources.</li><li>Partner with internal subject matter experts to move opportunities forward and provide a consultative experience to prospective clients.</li><li>Build and maintain an active pipeline of prospective relationships and business opportunities across assigned markets.</li><li>Maintain consistent follow-up throughout longer, relationship-driven sales cycles.</li><li>Develop relationships with existing clients while identifying opportunities to expand those partnerships.</li><li>Participate in client meetings, industry events, market visits, and other relationship-development activities.</li><li>Maintain accurate prospect, activity, pipeline, and relationship information within CRM and sales systems.</li><li>Collaborate closely with cross-functional teams and senior leadership throughout the business development process.</li></ul>Travel & Work EnvironmentThis position is onsite in Nashville, Tennessee. 5 days a week in the Green Hills area. Travel typically averages 2–3 trips per month for client meetings, market visits, industry events, and relationship development. Travel may increase as an individual's book of business grows./
2026-10-02T00:00:00Z

Data Scientist

Irmo, SC
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a cutting-edge team in Columbia, SC. This role is suited for a hands-on, detail-oriented individual who can quickly step into an established engineering environment and contribute as an individual contributor alongside a stable, collaborative team. You will work closely with software engineering partners to build data-driven solutions, support analytics initiatives, and apply machine learning and ETL expertise to business needs. Responsibilities:• Develop, maintain, and improve data pipelines that collect, transform, and prepare information for analytical and operational use.• Design and implement machine learning models that address business challenges and support data-informed decision-making.• Partner with software engineers, product stakeholders, and quality teams to integrate data science solutions into broader technical workflows.• Analyze complex datasets to identify trends, generate insights, and recommend practical next steps based on findings.• Step into ongoing initiatives with minimal ramp-up time by reviewing existing work and continuing progress on active projects.• Translate business questions into structured analytical approaches, selecting appropriate methods, tools, and validation techniques.• Document methodologies, model performance, and data processes to support knowledge sharing and maintainability across the team.• Participate in periodic onsite collaboration in Irmo, South Carolina, with in-person attendance expected once per quarter.
2026-10-05T00:00:00Z

Data Scientist

Farmers Branch, TX
remote
Temporary to Hire
71.25 - 82.5 USD / Hourly
We are looking for a Data Scientist to join a healthcare-focused analytics team in Texas, where you will turn complex data into practical insights and scalable solutions. This contract position with the potential to become permanent is ideal for someone who combines strong statistical knowledge with curiosity, business acumen, and a passion for solving meaningful problems. You will work closely with technical and business partners to design predictive models, improve data quality, and communicate findings that support informed decision-making. Responsibilities: • Transform large, complex datasets into actionable insights by exploring trends, identifying patterns, and uncovering opportunities that support business goals. • Build, test, and refine machine learning models and predictive solutions that improve decision-making and deliver measurable value. • Prepare structured and unstructured data for analysis through cleansing, validation, and preprocessing to ensure reliability and usability. • Strengthen data acquisition practices by recommending improvements that capture the information needed for advanced analytics initiatives. • Partner with business leaders, analysts, and IT teams to define problems, evaluate options, and shape data-driven strategies. • Communicate analytical findings through clear narratives, presentations, and visualizations that make complex results easy to understand. • Create impactful dashboards and visual tools that highlight performance gaps, emerging opportunities, and areas for operational improvement. • Facilitate discussions with stakeholders to gather requirements, iterate on analytical approaches, and align solutions with business needs. • Handle sensitive information with discretion while supporting a culture of continuous improvement, accountability, and evidence-based decision-making.
2026-10-01T00:00:00Z

Data Scientist

Houston, TX
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
We are looking for a Data Scientist to help strengthen turbine reliability and improve operational visibility across a power generation fleet in Houston, Texas. This position combines hands-on data preparation, advanced analytics, and business reporting to turn complex equipment and performance data into practical insights for engineering and leadership teams. The ideal candidate can move comfortably between developing dashboards, analyzing downtime patterns, and creating predictive tools that support maintenance and performance decisions. Responsibilities: • Create and enhance dashboard reporting that highlights fleet financial results, equipment availability, and the primary factors affecting cost and performance. • Convert operational and maintenance data into meaningful metrics and recurring reports for engineering teams, business partners, and leadership stakeholders. • Gather, organize, and refine downtime, outage, and maintenance records from multiple operational sources and field documentation to support reliable analysis. • Evaluate failure and outage events to identify root causes and categorize trends across mechanical, electrical, controls, weather, and grid-related issues. • Build and maintain a dependable historical data set that supports querying, trend analysis, and long-term reliability reviews across the turbine fleet. • Design and implement statistical and machine learning models that anticipate downtime risk, detect component deterioration, and support earlier intervention. • Develop anomaly detection and early alert solutions using sensor and operating data such as vibration, temperature, pressure, and combustion-related measurements. • Partner with reliability, operations, engineering, and asset management teams to validate analytical findings, improve data pipelines, and recommend maintenance strategy adjustments based on observed trends. • Present technical conclusions and business implications clearly to both specialized and non-technical audiences, including management and leadership teams.
2026-10-05T00:00:00Z

Data Scientist

Bala Cynwyd, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools. Responsibilities: • Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting. • Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders. • Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format. • Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows. • Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources. • Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences. • Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices. • Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed. • Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
2026-10-01T00:00:00Z

Business Development Manager (Legal AI/Tech) Remote

Los Angeles, CA
onsite
Permanent / Full Time
80000 - 110000 USD / Yearly
Business Development Manager (Legal AI/Technology) | 100% RemoteAn innovative, high-growth legal technology company is hiring a Business Development Manager to expand its presence in the Plaintiff Personal Injury space. This is an excellent opportunity for a Plaintiff Personal Injury Paralegal, Case Manager, or Attorney who wants to transition into a client-facing, consultative sales role while leveraging their legal industry expertise. The company has seen strong success with practitioner-led sales and is looking for someone who can build credibility quickly with attorneys, partners, and legal staff by speaking directly to the workflows, challenges, and demands of the personal injury market. Location<ul><li>Can be based anywhere with a strong Plaintiff Personal Injury presence including Chicago, California (if in CA, LA preferred), Washington, Oregon, Texas, Florida, Arizona, and similar markets.</li></ul> Why consider this opportunity?<ul><li>100% remote work environment</li><li>Uncapped earning potential with quarterly commission</li><li>Equity participation opportunity</li><li>Opportunity to work at the intersection of AI, legal technology, and personal injury law</li><li>Join a high-growth organization backed by leading investors</li><li>Make a direct impact on product adoption and company growth</li></ul> Key responsibilities<ul><li>Manage the full sales cycle from prospecting through close</li><li>Build relationships with personal injury law firms and legal service providers</li><li>Lead product demonstrations and consultative presentations</li><li>Identify client pain points and position technology solutions effectively</li><li>Maintain and grow a healthy sales pipeline through CRM management</li><li>Partner with internal teams to enhance customer experience and market strategy</li><li>Generate new business while identifying expansion opportunities within existing accounts</li><li>Stay current on legal technology trends, AI applications, and developments in the personal injury space</li></ul>
2026-09-04T00:00:00Z

Software Developer

Jacksonville, FL
onsite
Temporary / Contract
51.4615 - 59.587 USD / Hourly
We are looking for a Software Developer to join a team in Jacksonville, Florida on a Long-term Contract basis. This role is suited to someone who enjoys building and improving business applications through hands-on development across modern .NET and front-end technologies. The position calls for strong problem-solving ability, careful attention to code quality, and a practical approach to delivering reliable solutions for both desktop and mobile users. Responsibilities: • Design and maintain database structures that support application performance, scalability, and long-term usability. • Develop, troubleshoot, and refine complex stored procedures, triggers, and data queries to ensure dependable system behavior. • Analyze query efficiency and improve existing code to strengthen performance and responsiveness. • Build and enhance application features using C#, .NET technologies, Angular, TypeScript, and related web development tools. • Investigate defects, resolve technical issues, and complete thorough unit testing to validate application functionality. • Apply established coding guidelines and secure development practices throughout the software lifecycle. • Contribute technical insight during troubleshooting and solution planning by combining analytical thinking with effective time management. • Complete assigned development tasks independently on smaller initiatives while aligning work with team direction and business goals.
2026-09-16T00:00:00Z

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