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Data Engineer
Location
United States
Posted
102 days ago
Salary
0
Seniority
Mid Level
Job Description
Data Engineer
V4C ai
Position Overview V4C.ai is seeking a motivated Data Engineer to join our remote team in the United States. In this role, you will support the design, development, and maintenance of data solutions using Databricks, helping clients and internal teams process, transform, and analyze data effectively. You'll work on building reliable data pipelines and workflows in a collaborative environment, gaining hands-on experience with modern data engineering tools and cloud technologies. Key Responsibilities - Collaborate with team members and stakeholders to understand data requirements and contribute to building scalable data pipelines and workflows in Databricks. - Develop and implement ETL/ELT processes using Databricks, Python, SQL, and related tools to ingest, transform, and prepare data. - Assist in optimizing data workflows for better performance, reliability, and cost-efficiency within Databricks environments. - Support the creation and maintenance of data models, tables, and integrations in cloud platforms (Azure, AWS, or similar). - Work closely with cross-functional teams (data analysts, scientists, and engineers) to deliver clean, accessible data for analytics and reporting. - Monitor data pipelines, troubleshoot basic issues, and contribute to documentation and best practices. - Stay curious about new Databricks features and data engineering trends to support ongoing improvements. Requirements - Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field (or equivalent practical experience). - 1-2 years of professional experience in data engineering, data processing, analytics engineering, or a closely related role (internships, co-ops, or academic projects with relevant tools count toward this). - Hands-on experience and comfort building basic data pipelines or transformations. - Proficiency in Python and SQL; experience with Scala is a plus but not required. - Basic understanding of cloud platforms such as Azure, AWS, or GCP (ex: working with storage, compute, or data services). - Solid analytical and problem-solving skills with attention to detail and a focus on writing clean, maintainable code. - Strong communication skills and ability to work collaboratively in a remote team environment. - Eagerness to learn, take ownership of tasks, and grow within data engineering.
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Field Engineer responsibilities may vary depending on the project and assignment. This description is meant to provide an overall picture of the types of work and responsibilities you may encounter. Position Summary The Field Engineer plays a critical role in supporting TEiC projects across their full lifecycle, serving as a key member of the project management team. This position provides engineering, technical, and project execution support both on-site and from the home office. The Field Engineer typically spends a significant portion of the year at active project sites (ranging from approximately 25%–75% depending on project needs), with remaining time supporting estimating, planning, and preparation of future projects. In this role, the Field Engineer contributes to proposal development, project planning and scheduling, execution oversight, tooling and rigging coordination, safety and quality management, subcontractor oversight, and corporate and customer reporting. The position requires strong technical acumen, collaboration skills, and the ability to balance field execution responsibilities with office-based project support. Essential Roles and Responsibilities Project Estimation & Proposal Development - Participate in scope walk-downs and assist in developing estimates and proposals for customer submittal, in collaboration with Area Managers and project leadership. - Prepare Requests for Quotation (RFQs) for subcontractors and obtain vendor and material pricing. - Support proposal risk identification and contractual risk mitigation during the estimating phase. - Assist operations with proposal development, project schedules, forecasting, and execution planning. Project Planning & Execution - Assist in creating, implementing, and maintaining project execution plans and schedules (Primavera P6 or other scheduling tools). - Monitor project activities to ensure alignment with approved plans, schedules, and contract requirements. - Develop rigging plans and coordinate with third-party engineers to obtain required PE stamps. - Track project progress and earned value, updating systems such as InEight and internal reporting tools. - Support procurement activities, including issuing purchase orders and coordinating subcontractor and material delivery. - Assist with turnover and closeout activities, ensuring proper documentation is provided to construction and startup/commissioning teams. Safety, Quality, and Compliance - Incorporate health, safety, and environmental considerations into all project documentation and field activities. - Act as a role model for safety excellence, participating in job hazard analyses and reinforcing a strong safety culture. - Conduct work package walk-downs to monitor progress, quality, and compliance with specifications. - Ensure accurate tracking and reporting of production quantities and quality metrics. Technical & Engineering Support - Review engineering drawings, specifications, and RFIs to support field execution and resolve technical issues. - Manage the RFI process, ensuring thorough review and timely resolution. - Prepare construction and installation work packages for assigned disciplines, ensuring accuracy and completeness. - Provide technical input and engineering insight during project team meetings and execution planning. Customer & Stakeholder Engagement - Communicate effectively with project management teams, engineering groups, customers, subcontractors, and internal stakeholders. - Serve as a point of interface between field execution, engineering, and customer representatives. - Report project progress, changes, and risks to customers and TEiC leadership. - Develop change order estimates and support client negotiations related to scope, schedule, and cost impacts. Collaboration & Leadership - Collaborate closely with project managers, superintendents, craft employees, and engineering teams to support successful execution. - Participate in corporate meetings, customer visits, and project-related conference calls. - Build strong working relationships with field supervision by providing timely, clear technical support. - Effectively manage time and priorities while balancing on-site project demands and home-office responsibilities.
Data Engineer
Irth SolutionsThe Most Complete SaaS Platform for Damage Prevention, Asset Protection and Risk Management
**Job Summary** Irth is developing a unified Databricks-based Lakehouse platform to consolidate and govern data across multiple cloud environments and products. * As a Data Engineer, you will play a hands-on role in implementing scalable data pipelines, applying governance and quality standards, and supporting the enterprise data architecture. * You will work closely with the Senior Data Architect to build reliable, secure, and high-performance data pipelines using Databricks, Spark, and cloud-native technologies. * This role is ideal for mid-level engineers looking to expand their expertise in Databricks, Spark, Delta Lake, and modern lakehouse architecture.
Lead Data Engineer
Vivian HealthVivian Health's mission is to empower every healthcare professional to find their perfect job opportunity, faster and easier than ever before.
Full Time - Remote, United States Join the Future of Healthcare Recruitment at Vivian Health Vivian Health empowers every healthcare professional to find their perfect job faster and easier than ever before. As the largest healthcare jobs marketplace, we support over 2 million clinicians in finding their next career opportunities. Our AI-driven platform also enhances process efficiencies for staffing agencies and healthcare employers, significantly reducing time to hire. Vivian Health is backed by world-class investors, including Thoma Bravo and IAC, with over $75 million in capital raised. Our accolades include BuiltIn’s awards for “Fully Remote Best Startup,” “Fully Remote Best Places to Work,” and “U.S. Best Startups to Work For” in 2024. About the team: Vivian Health is a remote-first company at the forefront of transforming the healthcare staffing landscape. The Data Team plays a critical role in providing insights that drive business strategy and empower data-driven decision making across the organization. Our team is a centralized group of talented data professionals, with experience across BI and analytics, engineering, data science, and machine learning. We are looking for a technical leader to help guide the team and shape the future of our data platform. What you’ll do: As Lead Data Engineer you will set the technical direction for the data engineering team and own the strategy, maintenance, and operations of our data platform. You’ll lead a team of data engineers while staying hands-on with architecture decisions and technical leadership. A key focus will be maintaining and building feature stores and ML infrastructure to power our machine learning models, enabling personalized experiences for millions of healthcare professionals. What we’re looking for: We’re looking for a technical leader who combines deep data engineering expertise with the ability to mentor, coach, and grow a high-performing team. Ideally, you bring: 7+ years of professional experience in data engineering or software engineering, with 2+ years in a leadership or management role Proven experience designing and operating data platforms at scale Strong experience with Python and SQL Deep expertise with cloud data warehouses like Snowflake, BigQuery, or Redshift Experience building and maintaining feature stores and ML infrastructure Knowledge of AWS technologies like DynamoDB , Lambda , SageMaker , and Kinesis Experience with Infrastructure-as-Code tools like CloudFormation or Terraform Experience with Airflow , DBT , and data orchestration best practices Hands-on experience with streaming data pipelines (Kafka, Kinesis, or similar) Track record of mentoring engineers and building high-performing teams Strong communication skills with the ability to translate technical concepts for non-technical stakeholders Your First Year at Vivian Within one month, you’ll Have onboarded with the team and developed a deep understanding of our current data architecture Complete 1:1s with all data team members and key stakeholders across the organization Identify quick wins for platform reliability and operational improvements Within three months, you’ll Own the data platform roadmap and have alignment with engineering and product leadership Implement improved monitoring, alerting, and observability for data pipelines Begin design and architecture work for the feature store initiative Within six months, you’ll Have launched the first iteration of our feature store, enabling ML teams to access curated features Establish best practices for data quality, testing, and documentation across the team Drive tech stack decisions for real-time data infrastructure Within a year, you’ll Have built a robust, scalable data platform that serves as the foundation for all analytics and ML initiatives Power real-time feature pipelines that enable personalized experiences for millions of users Have grown and developed a high-performing data engineering team What we provide: (Benefits & Perks) The range for this position is $190,000 - $220,000 yearly salary plus equity, dependent on job-related, non-discriminatory factors such as experience, education, and skills. This range is based on a full-time schedule. Unfortunately we are not able to offer any visa support at this time. At Vivian Health, we offer a competitive compensation package, with benefits including: Flexible Time Off Comprehensive Health Insurance Plans, including HSA and FSA Options 401K Retirement Savings Plan with Generous Employer Match Generous Parental Leave Work-from-home stipend Access to Corporate Discount Program Pet Insurance
Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. What You'll Do: If you were part of our team, here are some things you would have done last week: Mentored fellow data engineers through code reviews, architectural decisions, and technical planning sessions Led the design and implementation of scalable, secure data pipelines using dbt, Apache Airflow, and SQL Collaborated with Product Managers to launch new customer-facing analytics capabilities Partnered with DevOps to optimize cloud infrastructure with Terraform and AWS-managed services Built and maintained integrations with MySQL, SQL Server, and OLAP systems to support product insights and internal operations Participated in our on-call rotation to ensure platform reliability and performance Contributed to the hiring, onboarding, and professional development of the Data Engineering team Explored and evaluated new tools—including AI-assisted coding platforms like Claude and Windsurf—to improve engineering workflows What You'll Need: Strong proficiency in SQL and Python Hands-on experience with AWS infrastructure and data services Familiarity with MySQL, SQL Server, and OLAP databases Experience using Terraform or other infrastructure-as-code tools Expertise in modern data tooling, particularly dbt and Apache Airflow Operating reliable and performant pipelines in production environments Building data platforms that support both internal stakeholders and external customers Compensation: We believe in equal pay for equal work, and transparency in compensation is a core value. Total compensation for this role is market competitive, including a target base annual salary range of $170,000 - $210,000, plus bonus opportunity, company stock options, and a full benefits package, including health insurance, paid time off, and a 401k. Please be aware that a candidates experience level and geographic location will be used to determine a competitive base salary. The higher end of this range is applicable to experienced candidates in the New York metro and Bay Area. Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's security measures all employees must: Engage in appropriate use of the company's electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts. Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email recruiting@Mark43.com requesting the accommodation.



