Data Engineer Salary at Cloverdx BETA

How much does a Cloverdx Data Engineer make?

As of April 2025, the average annual salary for a Data Engineer at Cloverdx is $130,805, which translates to approximately $63 per hour. Salaries for Data Engineer at Cloverdx typically range from $118,702 to $140,835, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Website:
cloverdx.com
Size:
50 - 100 Employees
Revenue:
$10M - $50M
Industry:
Software & Networking

CloverDX is a vital part of enterprise solutions such as data warehousing, business intelligence (BI) or master data management (MDM). CloverDX Designer (formerly known as CloverETL Designer) is a visual data transformation designer that helps define data flows and transformations in a quick, visual, and intuitive way. CloverDX Server (formerly known as CloverETL Server) is an enterprise ETL and data integration runtime environment. It offers a set of enterprise features such as automation, monitoring, user management, real-time ETL, data API services, clustering, or cloud data integration.

See similar companies related to Cloverdx

What Skills Does a person Need at Cloverdx?

At Cloverdx, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. SQL: Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
  2. Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
  3. Data engineering: Data engineering is the practice of designing and building systems for collecting, storing, and analyzing data at scale
  4. AWS: Amazon Web Services, Inc. is a subsidiary of Amazon that provides on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis.
  5. Big Data: Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed to big data are veracity (i.e., how much noise is in the data) and value. Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.

Related Jobs

ManTech
Herndon , VA

ManTech seeks a motivated, career and customer-oriented Data Engineer to join our team in Herndon, Virginia. As a Data Engineer on our team, you will work with of a team of cyber experts protecting our national security, while working on innovative projects that offer opportunities for advancement. We encourage our team members to share and grow their skills and expertise while creating robust and state-of-the-art solutions. Responsibilities include but are not limited to: Design, build, and optimize systems for data collection, storage, access, and analytics at enterprise scale, which may involve security-sensitive actions like illicit network access or data transfer Make data available, accessible, and secure to all stakeholders Create robust and resilient data pipelines to connect data sources to analytics tools Analyze data sources for accuracy, data prioritization, and apply appropriate logic to developed solutions. Work with various analysts to craft requirements Enumerate the ne


Sponsored
4/19/2025 12:00:00 AM
ManTech
Chantilly , VA

ManTech seeks a motivated, career and customer-oriented Data Engineer to join our team in Chantilly, VA. The Data Engineer will leverage their development skills and experience, to support the successful designing, ingesting, cleansing, transformation, loading, and display of significant amounts of data. Responsibilities include but are not limited to: Designing, implementing, and optimizing data extraction, cleansing, transformation, loading, replication/distribution, and large-scale ingest systems in a Big Data environment Optimizing all stages of the data lifecycle, from initial planning, to ingest, through final display and beyond Developing custom solutions/code to ingest and exploit new and existing data sources Developing data profiling, deduping logic, and matching logic for analysis Organizing and maintaining Data Layer documentation, so others are able to understand and use it. Also, work closely with data scientists to craft data pipelines which serve the development of mode


Sponsored
4/19/2025 12:00:00 AM
Intelliswift - An LTTS Company
Washington , DC

Job Title: Data Analyst II Locations: Washington DC (Onsite) Duration: 12 Months Contract on W2 (Possible extension) We are seeking a highly skilled and experienced Data Analyst to join our client's Data Engineering team. As a key team member, you will be responsible for providing data analysis support to Global Operations across the organization. Your primary focus will be on resolving privacy tasks, on-call tasks that require backfilling, tracking tasks, creating bug intake forms, and deprecating stale tables. Must-Have Skills: 2+ years of experience in developing ETL pipelines, modifying existing databases, and database management systems Strong SQL skills AND experience with data visualization tools such as Tableau or Power BI Knowledge of data warehousing concepts and ETL processes Nice-to-have Skills: Familiarity with Client's data infrastructure and tools (e.g., Hive, Presto, Spark) Experience with data governance and data quality best practices Experience with Python programmin


Sponsored
4/19/2025 12:00:00 AM
Data Society
Washington , DC

We Are: At Data Society, we provide bespoke, leading-edge data and AI solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills. Job Summary: The Data Engineer is responsible for building scalable, performant data pipelines that power critical operational and analytical applications. The engineer must be able to work closely with our data science teams to run ML/AI models on top of enterprise-scale data and build the supporting data scaffolding to orchestrate, test, and monitor data systems. This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both


Sponsored
4/18/2025 12:00:00 AM
Convergenz
Dhs , VA

Data Engineer Must have skills: Python, Spark, ETL, Data streaming experience, AWS. Nice to have: Hadoop, Glue, Snowflake, Databricks Fullstack - Backend -python based API - Angular & Web development is plus. Existing pipelines need to be transformed into PySpark Location preference is local to McLean or Richmond, VA. We are an Equal Opportunity Employer committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, gender identity, national origin, disability, or veteran status. We value diverse perspectives and actively seek to create an inclusive environment that celebrates the unique qualities of all employees. We are an Equal Opportunity Employer committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, gender identity, national origi


Sponsored
4/18/2025 12:00:00 AM
Infinitive Inc
Dhs , VA

About Infinitive: Infinitive is a data and AI consultancy that helps clients modernize, monetize, and operationalize their data to generate lasting value. They pride themselves on their deep industry and technology expertise, ensuring that they drive and sustain the adoption of new capabilities. Infinitive is committed to aligning their team with their clients' culture, ensuring a successful partnership by bringing the right mix of talent and skills for high return on investment. Infinitive has earned recognition as one of the "Best Small Firms to Work For" by Consulting Magazine, receiving this accolade seven times, most recently in 2024. They have also been honored as a "Top Workplace" by the Washington Post, "Best Places to Work" by the Washington Business Journal, and "Best Places to Work" by Virginia Business. Job Summary: We are seeking a skilled Data Engineer to join our team and play a key role in designing, building, and maintaining robust data pipelines and platforms. The ide


Sponsored
4/18/2025 12:00:00 AM
Steampunk, Inc.
Dhs , VA

We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Data Engineer", but a technologist with excellent communication Data Engineer, Engineer, Processing, Data Scientist, Technology, Database


Sponsored
4/18/2025 12:00:00 AM
Delve Deep Learning Inc.
Washington , DC

Youre the kind of engineer who thrives on solving complex data challengesdesigning and optimizing data pipelines that fuel AI-driven insights. Whether its ingesting massive streams of data, wrangling unstructured data, or optimizing embeddings for fast retrieval, you love making data work at scale. Your curiosity drives you to challenge conventional thinking, and you care deeply about the user experience and strive to build products that empower users. Now, imagine applying that expertise to a game-changing AI platform thats transforming how public affairs professionals track issues, anticipate risks, and make smarter decisions.At Delve Deep Learning (DDL), were not just building another AI productwere changing the way public affairs professionals work and navigate the world. We need a Data Engineer who can architect robust data ingestion systems, streamline pipelines, and enrich data to power state-of-the-art AI-driven knowledge discovery.If youre excited about large-scale scraping, E


Sponsored
4/16/2025 12:00:00 AM

Check more jobs information at Cloverdx

Job Title Average Cloverdx Salary Hourly Rate
2 Director, Enterprise Sales $176,786 $85
3 Director, Finance $200,656 $96
4 Director, Growth Operations $207,750 $100
5 Java Developer $105,301 $51
6 Manager, Content Marketing $121,533 $58
7 Manager, Growth Operation $117,877 $57
8 Senior Financial Accountant $91,294 $44
9 Senior Java Developer $105,301 $51
10 Senior Java Programmer $122,610 $59
11 Senior Product Manager $127,310 $61
12 Vice President, Product $127,310 $61
13 Business Development Manager $138,746 $67

Hourly Pay at Cloverdx

The average hourly pay at Cloverdx for a Data Engineer is $63 per hour. The location, department, and job description all have an impact on the typical compensation for Cloverdx positions. The pay range and total remuneration for the job title are shown in the table below. Cloverdx may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $130,805 look to you?

FAQ about Salary and Jobs at Cloverdx

1. How much does Cloverdx pay per hour?
The average hourly pay is $63. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Cloverdx?
According to the data, the highest approximate salary is about $140,835 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Cloverdx?
According to the data, the lowest estimated salary is about $118,702 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.