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Senior Data Architect
Salary

US$140000 - US$170000 per year

Location

Boston, Massachusetts

Description

Senior Data Architect

Reference:

66619

Expires on
Caroline Schlueter
Caroline Schlueter
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Senior Data Engineer
Salary

US$150000 - US$170000 per year

Location

Boston, Massachusetts

Description

Senior Data Engineer

Reference:

64796

Expires on
Caroline Schlueter
Caroline Schlueter
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Data Architect
Salary

US$150000 - US$220000 per year

Location

Boston, Massachusetts

Description

This rapidly growing global e-commerce company is looking for a highly experienced data architect to join their team!

Reference:

66993/CS

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Caroline Schlueter
Caroline Schlueter
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Senior Software Engineer
Salary

US$100000 - US$130000 per year + Benefits

Location

New York

Description

A fast-paced fin-tech start-up are looking for a Software Engineer to join them in New York! Click below to read more!

Reference:

62778/SN

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Lead BI Developer
Salary

US$150000 - US$160000 per year + Benefits

Location

Boston, Massachusetts

Description

Do you have experience with Power Query, Power Pivot and PowerBI? A leading consultancy are looking for a Lead BI Developer to join them in Boston!

Reference:

64317/SN

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Lead Software Engineer
Salary

US$160000 - US$180000 per year + 1.5% equity

Location

New York

Description

One of the most exciting start-ups in NewYork are looking for a Lead Software Engineer with Ruby on Rails to join them! Click below to read more!

Reference:

65642/SN

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Big Data Engineer
Salary

US$120000 - US$150000 per year + Benefits

Location

Boston, Massachusetts

Description

A global technology company are looking for a Big Data Engineer to join them in the heart of Boston! Click below to read more!

Reference:

64796/SN

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Lead Data Engineer
Salary

US$160000 - US$180000 per year + Benefits

Location

Los Angeles, California

Description

A business with their own innovative technology that is saving its users thousands of dollars.

Reference:

59396

Expires on
Calum Reid
Calum Reid
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SENIOR DATA ENGINEER
Salary

US$19000 - US$195000 per year + Bonus

Location

San Francisco, California

Description

A really exciting opportunity for a talented Senior Data Engineer to join a fast paced team working in a global leading business.

Reference:

67395

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Calum Reid
Calum Reid
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DEVOPS ENGINEER - SECURITY
Salary

US$180000 - US$220000 per year + Additional Benefits

Location

San Francisco, California

Description

Forward thinking start-up with a focus on enabling better patient care are looking for an experienced DevOps Engineer to join their team.

Reference:

62362

Expires on
Calum Reid
Calum Reid
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DATA ENGINEER - MACHINE LEARNING
Salary

US$150000 - US$175000 per year + Bonus and Stocks

Location

San Jose, California

Description

The Data Engineer will work at a global leader in their field who are always looking to improve and strengthen their offering to the market.

Reference:

66934

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Calum Reid
Calum Reid
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LEAD DATA ENGINEER
Salary

US$200000 - US$240000 per year

Location

South San Francisco, California

Description

A great opportunity to work collaboratively with Software Engineers and Data Scientists on a clinical R&D system.

Reference:

55977

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Calum Reid
Calum Reid
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551 result(s) found
Results per page 12 24 60

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Tips for your Data & Analytics Resume

Tips for your Data & Analytics Resume

So, you’re pursuing a career in Data & Analytics. The brilliant thing about this is you’re entering a fast-growing industry with the potential for a great salary. But, unfortunately, this also means you’re probably entering into one of the most competitive fields out there right now.  The question is, how can you ensure your resume stands out from the crowd and impresses any potential employer?  Here are some top tips to help boost your Data & Analytics resume. Formatting is important It may seem obvious, but handing over a messy resume with no headings and massive blocks of text is no way to make a good first impression. Research suggests your resume is only looked at for a total of six seconds, so it’s important to make an impact on first glance.  Not only does this entail creating a well-presented document overall, but it also means paying attention to the small details such as structuring your resume to best emphasise the qualities and experience you think speak most highly of your ability to do the job well. This is why utilising a reverse chronological format is sometimes a worthwhile idea. For a highly competitive job in a Data & Analytics related field, where past experience is an important factor, beginning a resume with your most recent experience nearest the top will draw the eye and attention of the hiring manager reading it. Additionally, make sure your skills, qualifications, extra courses and impressive achievements are highlighted and clearly stated within the main body. As such, it’s better to use bullet points wherever possible instead of paragraphs and, consequently, you’ll find your resume a lot more compact and legible; in other words, much more likely to be read and remembered.  Quality over quantity  Having the most aesthetically pleasing resume in the world will mean nothing if the content doesn’t relate to the job you’re applying for. Again, this may sound obvious but it’s always worth combing through your resume to eliminate any irrelevant features and leave more space to talk about the things that matter.  Having a single page summarizing the most impressive contributions in your last role, or the most valuable insights gathered from a particular project you were involved with, is much more valuable than a multi-page essay about your volunteering with a local soccer club five years ago (unless, of course, your role heavily related to Data & Analytics). When introducing yourself, avoid long sentences and pronouns, and use impactful verbs when describing your achievements: for instance, try “instigated” instead of “started” and “spearheaded” instead of “led”. Also be sure to highlight and, where possible, quantify how your previous work in data/analytics benefitted your old company.  Know the value of your skillset It’s worth dedicating a section of your resume just to listing your most valuable skills as they relate to the job you want. However, make sure to be specific when describing your technical skills and experience with whichever tool you’re talking about. State your level of expertise and how you utilized said software to make your knowledge clear to whoever’s reading.  If you’re applying for an entry level position, however, and don’t have much experience or technical skills yet, it’s important to show off whichever skills you already have and how they  will make you a great addition. It’s worth researching which of your more general skills are the most sought after by employers, and then gaining an understanding of which ones best relate to the job you’re trying to get. For jobs working in Data Science, for instance, maths skills, analytical skills and problem solving are well worth mentioning. Ultimately, you want this section to contain a comprehensive, impressive sounding, and accurate, list of your most relevant skills.   If you’re interested in Big Data & Analytics, we may have a role for you. Take a look at our latest opportunities or contact one of our expert consultants to find out more:  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. This guest blog was provided by check-a-salary. 

Guest Blog

Guest Blog

16. October 2019

News

Big Data In Politics – Win, Lose, Or Draw

Big Data In Politics – Win, Lose, Or Draw

In the movie Definitely, Maybe starring Ryan Reynolds, there’s a scene in which he must sell tables for a political campaign dinner fundraiser. He makes call after call with no luck. Finally, in frustration, he speaks plainly and finds a connection between the politician and the prospective donor. In an instant, he understands. Make the connection and you can’t go wrong. This is the 90’s version of micro-targeting. Online advertising today has honed targeted Marketing to an art form and it’s infused every industry from Fisherman’s Wharf to Wall Street to Washington. Messages are crafted on detailed profiles of what makes us unique such as hopes, fears, dreams, emotional triggers, and more which is then taken out of the hands of humans. Enter such deep, personal details into automated technologies and you’ll get automated reactions. How did we get here? Ever since Cicero’s brother, Quintus, who approached politics with a do anything to win mindset, we’ve been working toward this point. But, when it comes to technological advances within politics, George Simmel put it best when he wrote around 1915, “the vast intensive and extensive growth of our technology…entangles us in a web of means, and means toward means, more and more intermediate stages, causing us to lose sight of our real ultimate ends.”  What does this mean? It means we have moved so quickly and with such intensity as we push inwards while reaching outward, we get tangled up in our own systems. Before we know it, it’s difficult to separate the means from their ends, and we lose sight of our purpose. In other words, it can be hard to keep our sense of direction with our constant distraction of tasks, systems, and processes. According to Simmel, this would soon morph into what he called a ‘fragmentary character.’ Like a mosaic, we put the pieces back together and assemble the bits to fit our concept of the world.   The Digitizing of Campaigns Traditional campaigning has traditionally looked much like the movie scene mentioned above with phone banks, whiteboards, and handmade signs. But, today, things are changing. Everyone has at least one smart device which can sync information in real time to a range of devices. Algorithms and predictive modeling help reduce the guesswork, though gut feeling and instinct still prevail. At least, for now. Our machines are learning how to learn about us and define what we believe and wish to see by historical Data, or rather our past behaviors. Where psychographic profiling meets micro-targeting. What was once only seen in the Marketing world has now entered politics. Just like marketers want to know what people are interested in, so to do politicians wish to know what voters think. To do this, both industries will study behavioral and attitudinal profiles to help understand a demographic better or discern a gap in the marketplace. In consumer research, companies rely on psychographic micro-targeting to reach smaller groups and individuals. The key question here is to ask is to what extent are politicians prepared to pass laws that restrict their own opportunities to know more about voters. Just as the next generation of voters are coming, so too are the next generation of tools being developed.  One Final Thought… Over the last 20 years or so, we have built an immense Data structure from mobile devices to social media to modelling processes and more. With this kind of connectivity combined with fragmentary media, the use of Data Analysis has a big role to play going forward. If we seek change in our political and social infrastructures, we will have to reimagine the structures currently in place. From algorithmic modelling to AI and Machine Learning, the possibilities for new ideologies has emerged blurring the lines between context and production in which Data underpins capitalism. As those in Data Analytics continue to pursue an uninterrupted (read: non-fragmentary) vision of the world, we find ourselves at a new stage in history of where both looking back and looking forward at the same time informs our future.   Where would you like to go? If you’re interested in Big Data & Analytics, we may have a role for you. Take a look at our latest opportunities or contact one of our expert consultants to find out more:  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com.

Joshua Poore

Joshua Poore

10. October 2019

News

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