Data Salary at Tac*One Consulting BETA

We’re looking for a Data Engineer to join our investment data team and help shape the foundation of our data infrastructure. In this role, you’ll be responsible for designing scalable data models, building robust data pipelines, and delivering clean, reliable datasets to empower analytics and decision-making across portfolio management, operations, compliance, and client reporting. What You’ll Bring: 2+ years of professional experience in a data engineering, data analytics, or business intelligence role Bachelor’s degree in Data Engineering, Data Science, Computer Science, or a related field Proficient in SQL with demonstrated experience building and optimizing complex queries Deep understanding of data modeling (conceptual, logical, and physical), ETL/ELT processes, and data warehousing principles Hands-on experience designing and maintaining modern data architectures Strong project ownership mindset with the ability to work independently and drive initiatives from concept to executio

Location/Remote: 100% remote within the United States; must be willing to work Mountain Time Zone hours Employment Type: Permanent / Direct Hire / Full-time Compensation: up to $120k base salary (depending on experience) + 15% annual bonus Benefits: 100% medical premiums covered for employees Coverage for dependents on medical, dental, vision, life, and supplemental insurances (e.g., critical illness) Short- and Long-Term Disability (STD/LTD) HSA & FSA options Unlimited PTO Up to 12 weeks paid parental leave 401(k) with 5% company match Position Overview We are looking for a Data Engineer with strong expertise in building ETL pipelines using AWS Glue and other native AWS services. This role is ideal for someone passionate about automating and optimizing data workflows, with deep experience in Python, SQL, and cloud-first data architecture. You will be responsible for developing and maintaining scalable data pipelines that support business-critical analytics and operational use cases. K

Job Description Job Description Job Description: As a Data Entry Clerk, you will be responsible to prepare and sort documents for data entry, entering data into database software and checking to ensure the accuracy of the data that has been inputted, resolving discrepancies in information, and obtaining further information for incomplete documents, responding to information requests from employees and customers, and entering product and shipping information into related software. The ideal candidate will be computer savvy and be an accurate typist with a keen eye for detail. You will report to a data manager or another senior data team member. An understanding that all data is highly confidential is required. This position is not available to work remotely, and is based out of our headquarters in Wheat Ridge, CO. Job Responsibilities; Must have strong skills in reading and speaking English Ability to enter data efficiently, timely and without mistakes in order to meet deadlines Must be

ROR is a rapidly growing, client-driven digital marketing and data company. We are seeking an energetic and experienced Data Engineer to take a key role in our Engineering team. In this position, you will collaborate with other team members, product owners, and operations. You should have a deep understanding and a passion for designing and implementing robust ELT data pipelines. This position will be responsible for building and maintaining best-in-class data systems. Must be authorized to work in the United States with no sponsorship and currently live in Boulder Area, Colorado or already planning to relocate as there is no relocation package. What you will do • Develop and maintain data models in dbt (Data Build Tool) within Snowflake, implementing business logic and ensuring alignment with existing architecture and data standards. • Design, build, and administer scalable data pipelines and a robust data warehouse to support reporting, analytics, and operational use cases. • Collabo

Position: Data Engineer Location: Englewood, CO (Hybrid) Duration: 6-12 Month Contract-to-hire Salary: $60-70/Hour Required Experience & Qualifications: 7+ years experience in Data Engineering 5+ years in Software Engineering or DevOps with a data-heavy focus Bachelor’s degree in Computer Science, Software/Data Engineering, or a related field Proven experience with: AWS services (Glue, S3, Lambda, Athena, etc.) Python for data pipeline scripting ETL development and cloud-based data lakes/warehouses Data modeling concepts and best practices Infrastructure as Code experience (Terraform – nice to have) Familiarity with legacy tools like SQL Server, Oracle, or Informatica a plus Experience with QuickSight (or similar reporting tools) is a bonus Key Responsibilities: Build and maintain scalable ETL pipelines ingesting data from various internal and external systems Hydrate the data lake and expose clean datasets for reporting and integrations Contribute to data strategy by designing efficie

About the Team: Looking for a highly technical, hands-on Data Engineer for our Data Lake Team that can independently lead data engineering projects and strive to proactively improve process efficiency, making recommendations for process and system improvements where applicable. The Data Engineer role will be responsible for not only understanding data pipelines but, event streaming applications, and how to build systems that handle massive amounts of data while making it consumable by other application teams, users and data scientists. You will also be assisting in the design and architecture of highly scalable, fault tolerant infrastructure capable of processing millions of operations per minute coming from millions of TVs, efficiently store petabytes of data and provide fast insights from the data. You will also be working with teams across the Vizio enterprise to bring their data into our Big Data ecosystem, monitor data quality for cleanliness and fix discrepancies. Ensure data acc

3 Openings (Data Engineer, Data Scientist, Data Analyst) Location: Hybrid (2-3 days a week onsite), Denver CO Pay Rate: $70 - $80 /hr. on W2 with benefits Contract: Long Term Contract (possibility of conversion to an FTE) Responsibilities Create and maintain dashboards to provide insights for the data team. Conduct high-level data analysis to identify trends and anomalies. Answer stakeholder questions about dashboards and models. Support business intelligence efforts through analytical reporting. Assist in model interpretation and prioritization for network improvements. Work on impairment scoring and developing prioritization frameworks for node groups. Required Qualifications Proficiency in SQL and Python for data analysis. Strong dashboarding experience (Tableau, Power BI, Looker). Data science knowledge to support high-level decision-making. Ability to slice and dice data to extract meaningful insights. Strong communication skills for presenting data-driven recommendations. Preferr

Description The Multi Domain Solutions Division at Leidos has an opening for a 24/7 SIGINT Data Processing Technician. The successful candidate supports basic data processing activities, performs routine data entry and verification tasks, assists in organizing and optimizing datasets to meet mission requirements, and collaborates with teammates to ensure accurate and timely data processing in a mission environment. Primary Responsibilities Support customer and stakeholder relationships using technical mission knowledge and analytics Use data science techniques to create data-centric solutions for mission operations Research, develop, and test data methodologies, and generate cross-functional solutions through analysis of large data sets Acquire complex data for critical analysis, explore new sources of data, and combine data from disparate sources to validate information and extract new meaning Execute and refine the process and procedure of instrumentation Signals Analysis operations