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Sql Python Excel Power Bi Tableau Jobs (NOW HIRING)

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

Talend,PySpark,Amazon Redshift,ETL,ELT,Kafka,Apache Spark,Java,NoSQL,AWS EMR.,data pipeline,Apache NiFI,Kylo,Scripting,Power BI,Tableau,Qlik,data ingestion,wrangling,cleansing,Advanced SQL,SQL,Python ...

Create and maintain Power BI/Tableau/Palantir Foundry dashboards for leadership visibility into ... Strong proficiency with SQL, Python, and/or Spark for data manipulation. * Demonstrated experience ...

... DAX, SQL and the M language. • Prior experience in Analysis Services Tabular Modelling, Power Pivot, Power BI Modelling. • Must have experience in other reporting tools like SSRS, Tableau ...

... SQL Servers, SharePoint Lists, Excel Spreadsheets, 3rd party connectors, including advanced BI ... Knowledge of Tableau or broader experience with Microsoft Power Platform is a nice to have (Power ...

BI Developer 3

Lehi, UT · On-site

$52 - $56.33/hr

Power BI Tableau SQL Server / T-SQL Data Modeling ETL Development Databricks Python Data Warehousing Dashboard & Report Development Data Visualization Performance Optimization Pay Range $52.00 - $56 ...

Python API Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Power Bi, Tableau, QlikView. * PostgreSQL. Manikanth Sarian Solutions, Inc. Ph: 732-790-2266 X 105 manikanth.d@sariansolutions.com

Connect to various data sources (SQL Server, Excel, Azure, SharePoint, etc.). * Develop data models ... Experience in Python, R, or other scripting languages for data analysis. * Understanding of Power ...

... Power BI semantic models and Tableau data sources for enterprise-scale performance and maintainability. * Write and optimize complex DAX measures, M/Power Query transformations, and SQL queries to ...

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How much do sql python excel power bi tableau jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for sql python excel power bi tableau in the United States is $56.24, according to ZipRecruiter salary data. Most workers in this role earn between $46.39 and $66.35 per hour, depending on experience, location, and employer.

What is the difference between Sql Python Excel Power Bi Tableau vs Data Analyst?

AspectSql Python Excel Power Bi TableauData Analyst
Required SkillsSQL, Python, Excel, Power BI, TableauData analysis, SQL, Excel, visualization tools
Work EnvironmentBusiness intelligence, data visualization, reportingData interpretation, reporting, business insights
Industry UsageTech, finance, marketing, consultingFinance, healthcare, retail, marketing

Sql Python Excel Power Bi Tableau professionals focus on data extraction, analysis, and visualization using specific tools. Data Analysts interpret data to provide insights, often using similar skills but with a broader focus on business decision-making. While both roles require SQL and Excel, the former emphasizes technical data manipulation and visualization tools, whereas Data Analysts focus on understanding data trends and presenting actionable insights.

What are SQL, Python, Excel, Power BI, and Tableau jobs?

Jobs that require skills in SQL, Python, Excel, Power BI, and Tableau typically involve working with data analysis, data visualization, and business intelligence. Professionals in these roles use SQL to manage and query databases, Python for data processing and automation, Excel for organizing and analyzing data, and Power BI or Tableau to create interactive dashboards and reports. These roles are common in industries like finance, healthcare, marketing, and technology, where data-driven decision-making is essential. Common job titles include Data Analyst, Business Intelligence Analyst, and Data Scientist.

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in SQL and Python for data manipulation, and a solid understanding of Excel for data organization and calculations. Familiarity with data visualization tools like Power BI and Tableau, as well as relevant certifications such as Microsoft Certified: Data Analyst Associate, are highly valuable. Attention to detail, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights for stakeholders. These skills are crucial for extracting meaningful information from data, driving business decisions, and presenting results clearly to both technical and non-technical audiences.

How do professionals using SQL, Python, Excel, Power BI, and Tableau typically collaborate within data teams?

Professionals skilled in SQL, Python, Excel, Power BI, and Tableau often work closely with data analysts, data engineers, and business stakeholders. They collaborate by gathering requirements, extracting and transforming data (using SQL and Python), and then visualizing insights (with Power BI and Tableau) or conducting ad-hoc analysis in Excel. Regular communication and sharing of dashboards or reports are common, as is peer review of data models and code. This collaborative environment helps ensure accurate, actionable insights for the organization.
More about Sql Python Excel Power Bi Tableau jobs
What cities are hiring for Sql Python Excel Power Bi Tableau jobs? Cities with the most Sql Python Excel Power Bi Tableau job openings:
What states have the most Sql Python Excel Power Bi Tableau jobs? States with the most job openings for Sql Python Excel Power Bi Tableau jobs include:
Infographic showing various Sql Python Excel Power Bi Tableau job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $116,980 per year, or $56.2 per hour.
Data Architect

$64.25 - $82.75/hr

Full-time

Posted 7 days ago


Job description

Overview:
Position: Data Architect
Location: Hartford, CT (Remote right now)
Duration: 12+Months
Mandatory Skills: Talend, PySpark, Redshift
Job Description
Responsibilities:
Translating data and technology requirements into our ETL / ELT architecture.
Develop real-time and batch data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark, Java, NoSQL DBs, AWS EMR.
Develop data driven solutions utilizing current and next generation technologies to meet evolving business needs.
Develop custom cloud-based data pipeline.
Provide support for deployed data applications and analytical models by identifying data problems and guiding issue resolution with partner data engineers and source data providers.
Provide subject matter expertise in the analysis, preparation of specifications and plans for the development of data processes.
Qualifications:
Strong experience in data ingestion, gathering, wrangling and cleansing tools such as Apache NiFI, Kylo, Scripting, Power BI, Tableau and/or Qlik
Experience with data modeling, data architecture design and leveraging large-scale data ingest from complex data sources
Experience building and optimizing 'big data' data pipelines, architectures and data sets.
Advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Strong knowledge of analysis tools such as Python, R, Spark or SAS, Shell scripting, R/Spark on Hadoop or Cassandra preferred.
Strong knowledge of data pipelining software e.g., Talend, Informatica
Skills:
Talend,PySpark,Amazon Redshift,ETL,ELT,Kafka,Apache Spark,Java,NoSQL,AWS EMR.,data pipeline,Apache NiFI,Kylo,Scripting,Power BI,Tableau,Qlik,data ingestion,wrangling,cleansing,Advanced SQL,SQL,Python,Hadoop,Cassandra,R/Spark,Informatica