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Data Stacks Jobs in Raleigh, NC (NOW HIRING)

CYNET SYSTEMS

Lead Full Stack Java Developer

Raleigh, NC · On-site

$80 - $85/hr

* The Lead Full Stack Java Developer will support a Child Support System Enhancement effort focused ... Support data migration to relational databases such as DB2, PostgreSQL, and Oracle. * Contribute to ...

Deloitte

Sr. Data Scientist

Raleigh, NC · On-site

Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation. * Knowledge of and experience in leveraging Applied ...

FocusKPI

Marketing Operations Analyst

Raleigh, NC

... data stack. Responsibilities: * Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data ...

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

You will analyze data and create rules for the ETL process. The import process will also include ... This role offers an exciting opportunity to play a key role in modernizing our technology stack and ...

FocusKPI

Marketing Operations Analyst

Durham, NC

... data stack. Responsibilities: * Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data ...

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Data Stacks information

What are Data Stacks?

Data stacks refer to the combination of tools, technologies, and frameworks used to collect, store, process, and analyze data within an organization. A typical data stack might include data ingestion tools, databases, data warehouses, processing frameworks, and analytics platforms. The purpose of a data stack is to streamline the flow of data from its source to actionable insights, supporting business intelligence and decision-making. Common examples include the Modern Data Stack, which often uses tools like Fivetran, Snowflake, dbt, and Looker.

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

To thrive as a Data Engineer, you need strong skills in database design, data modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Apache Spark, Hadoop, and cloud platforms like AWS or Google Cloud, as well as certifications in these technologies, is highly valued. Problem-solving abilities, attention to detail, and effective communication are important soft skills for this role. These skills are crucial for building reliable data pipelines, ensuring data quality, and supporting data-driven decision-making within organizations.

What is the difference between Data Stacks vs Data Analysts?

AspectData StacksData Analysts
Required CredentialsBachelor's in Computer Science, Data Science, or related fields; certifications like SQL, Python, or cloud platformsBachelor's in Statistics, Mathematics, or related fields; often certifications in Excel, SQL, or data visualization tools
Work EnvironmentTechnical teams, data engineering, software development environmentsBusiness units, reporting teams, data visualization platforms
Employer & Industry UsageTech companies, data-driven organizations, startupsFinance, marketing, healthcare, consulting firms

Data Stacks focus on building and managing the underlying data infrastructure, while Data Analysts interpret data to provide insights. Both roles require analytical skills, but Data Stacks professionals are more technical, working with data pipelines and databases, whereas Data Analysts focus on analyzing data to support decision-making.

What are some common challenges faced when managing modern data stacks, and how can they be addressed in this role?

Professionals managing modern data stacks often encounter challenges such as integrating diverse data sources, ensuring data quality, and maintaining system scalability as data volumes grow. Addressing these challenges typically involves collaborating closely with data engineers, analysts, and IT teams to implement robust data pipelines, automate data validation, and monitor system performance. Staying updated with evolving technologies and best practices is also crucial for proactive problem-solving and optimizing the data stack for business needs.
Data Stacks jobs near you
Junior java microservices programmer/Data engineer

Junior java microservices programmer/Data engineer

SynergisticIT

Raleigh, NC

Other

Posted 16 days ago

Job description

Failing Interviews Isn't a Talent Problem. It's a Preparation Problem.
If you're getting interviews but not offers, you're closer than you think-and that's the most frustrating stage to be in. You've already proven you're employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates don't fail because they're "not smart." They fail because they prepared the wrong way-watching tutorials, building shallow projects, or memorizing answers without mastering fundamentals.
SynergisticIT's approach is built for this exact scenario. Since 2010, SynergisticIT has helped candidates move from "almost" to "offer," with many JOPP graduates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Client, Client, Banking, Walmart Labs, AutoZone, Client, Client, and more. The difference is that JOPP is designed to prepare you for how employers evaluate, not how bootcamps teach.
SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the "end-to-end" thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives.
This is where many bootcamps fall short. They train you, hand you a certificate, and leave you alone. about 30% of candidates entering the Job Placement Program have already tried Udemy, Coursera, university bootcamps, or other coding bootcamps and still didn't land jobs-because those paths often focus on learning content, not passing interviews and securing offers.
Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps, and international candidates on F1/OPT who need employment to maintain status and pursue STEM extension/H-1B pathways. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer).
Explore resources and get started:
If you want to explore the program directly, here are the key links:
  • Job Placement Program (JOPP):
  • Java Job Placement Program
  • Data Science / Data Jobs Program
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact: https://www.synergisticit.com/contact-us/
If you're tired of being "final round" without the offer, stop guessing and start preparing with a plan. Fill out the SynergisticIT contact form and ask about the JOPP track that matches your target role.
Please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
How OPT Students Can Land Tech Jobs - SynergisticIT

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